Senior, AI Engineer

General Information Job Title Senior, AI Engineer Job ID 109318 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Sao Paulo Description & Requirements WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMThe Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.WHAT YOU'LL DOBuild and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applicationsBuild and iterate on multi-component AI pipelines, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Implement tool use, function calling, and orchestration across AI workflowsBuild agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integrationContribute across the full stack: model experimentation, evaluation design, and production system deploymentBuild and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliabilitySupport GenAIOps processes including automated testing, regression evaluation, and latency monitoringApply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflowsBuild evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and costCollaborate effectively with product, engineering, data science, and infrastructure teamsCommunicate technical findings clearly to cross-functional stakeholdersMUST HAVE2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilitiesDemonstrated experience shipping generative AI features or systems end-to-end, from prototyping through productionSolid prompt engineering and context engineering skillsWorking knowledge of evaluation design and data labeling strategies for LLM applicationsExperience withRAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)Agentic patterns (tool use, routing, memory management)AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystemsStrong foundation in software engineering, system design, and production-grade deploymentFamiliarity with cost and latency tradeoffs when working with LLM workloadsClear communication skills with the ability to explain technical concepts to non-technical collaboratorsComfort operating in high-ambiguity, collaborative environmentsExperience in client-facing consulting or enterprise transformation environments is a strong plusWORKING MODEL & TRAVELThis role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs. Go backGeneral Information Job Title Senior, AI Engineer Job ID 109318 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Sao Paulo Description & Requirements WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMThe Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.WHAT YOU'LL DOBuild and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applicationsBuild and iterate on multi-component AI pipelines, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Implement tool use, function calling, and orchestration across AI workflowsBuild agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integrationContribute across the full stack: model experimentation, evaluation design, and production system deploymentBuild and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliabilitySupport GenAIOps processes including automated testing, regression evaluation, and latency monitoringApply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflowsBuild evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and costCollaborate effectively with product, engineering, data science, and infrastructure teamsCommunicate technical findings clearly to cross-functional stakeholdersMUST HAVE2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilitiesDemonstrated experience shipping generative AI features or systems end-to-end, from prototyping through productionSolid prompt engineering and context engineering skillsWorking knowledge of evaluation design and data labeling strategies for LLM applicationsExperience withRAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)Agentic patterns (tool use, routing, memory management)AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystemsStrong foundation in software engineering, system design, and production-grade deploymentFamiliarity with cost and latency tradeoffs when working with LLM workloadsClear communication skills with the ability to explain technical concepts to non-technical collaboratorsComfort operating in high-ambiguity, collaborative environmentsExperience in client-facing consulting or enterprise transformation environments is a strong plusWORKING MODEL & TRAVELThis role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.General InformationGeneral Information

General Information

Job Title Senior, AI Engineer Job ID 109318 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Sao PauloJob Title Senior, AI Engineer Job ID 109318 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Sao PauloJob Title Senior, AI EngineerJob TitleSenior, AI EngineerJob ID 109318Job ID109318Work Areas Technology & EngineeringWork AreasTechnology & EngineeringEmployment Type Permanent Full-TimeEmployment TypePermanent Full-TimeLocation(s) Sao PauloLocation(s)Sao PauloDescription & RequirementsDescription & Requirements

Description & Requirements

WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMThe Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.WHAT YOU'LL DOBuild and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applicationsBuild and iterate on multi-component AI pipelines, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Implement tool use, function calling, and orchestration across AI workflowsBuild agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integrationContribute across the full stack: model experimentation, evaluation design, and production system deploymentBuild and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliabilitySupport GenAIOps processes including automated testing, regression evaluation, and latency monitoringApply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflowsBuild evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and costCollaborate effectively with product, engineering, data science, and infrastructure teamsCommunicate technical findings clearly to cross-functional stakeholdersMUST HAVE2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilitiesDemonstrated experience shipping generative AI features or systems end-to-end, from prototyping through productionSolid prompt engineering and context engineering skillsWorking knowledge of evaluation design and data labeling strategies for LLM applicationsExperience withRAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)Agentic patterns (tool use, routing, memory management)AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystemsStrong foundation in software engineering, system design, and production-grade deploymentFamiliarity with cost and latency tradeoffs when working with LLM workloadsClear communication skills with the ability to explain technical concepts to non-technical collaboratorsComfort operating in high-ambiguity, collaborative environmentsExperience in client-facing consulting or enterprise transformation environments is a strong plusWORKING MODEL & TRAVELThis role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMThe Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.WHAT YOU'LL DOBuild and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applicationsBuild and iterate on multi-component AI pipelines, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Implement tool use, function calling, and orchestration across AI workflowsBuild agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integrationContribute across the full stack: model experimentation, evaluation design, and production system deploymentBuild and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliabilitySupport GenAIOps processes including automated testing, regression evaluation, and latency monitoringApply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflowsBuild evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and costCollaborate effectively with product, engineering, data science, and infrastructure teamsCommunicate technical findings clearly to cross-functional stakeholdersMUST HAVE2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilitiesDemonstrated experience shipping generative AI features or systems end-to-end, from prototyping through productionSolid prompt engineering and context engineering skillsWorking knowledge of evaluation design and data labeling strategies for LLM applicationsExperience withRAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)Agentic patterns (tool use, routing, memory management)AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystemsStrong foundation in software engineering, system design, and production-grade deploymentFamiliarity with cost and latency tradeoffs when working with LLM workloadsClear communication skills with the ability to explain technical concepts to non-technical collaboratorsComfort operating in high-ambiguity, collaborative environmentsExperience in client-facing consulting or enterprise transformation environments is a strong plusWORKING MODEL & TRAVELThis role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMThe Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.WHAT YOU'LL DOBuild and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applicationsBuild and iterate on multi-component AI pipelines, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Implement tool use, function calling, and orchestration across AI workflowsBuild agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integrationContribute across the full stack: model experimentation, evaluation design, and production system deploymentBuild and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliabilitySupport GenAIOps processes including automated testing, regression evaluation, and latency monitoringApply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflowsBuild evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and costCollaborate effectively with product, engineering, data science, and infrastructure teamsCommunicate technical findings clearly to cross-functional stakeholdersMUST HAVE2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilitiesDemonstrated experience shipping generative AI features or systems end-to-end, from prototyping through productionSolid prompt engineering and context engineering skillsWorking knowledge of evaluation design and data labeling strategies for LLM applicationsExperience withRAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)Agentic patterns (tool use, routing, memory management)AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystemsStrong foundation in software engineering, system design, and production-grade deploymentFamiliarity with cost and latency tradeoffs when working with LLM workloadsClear communication skills with the ability to explain technical concepts to non-technical collaboratorsComfort operating in high-ambiguity, collaborative environmentsExperience in client-facing consulting or enterprise transformation environments is a strong plusWORKING MODEL & TRAVELThis role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMThe Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.WHAT YOU'LL DOBuild and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applicationsBuild and iterate on multi-component AI pipelines, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Implement tool use, function calling, and orchestration across AI workflowsBuild agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integrationContribute across the full stack: model experimentation, evaluation design, and production system deploymentBuild and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliabilitySupport GenAIOps processes including automated testing, regression evaluation, and latency monitoringApply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflowsBuild evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and costCollaborate effectively with product, engineering, data science, and infrastructure teamsCommunicate technical findings clearly to cross-functional stakeholdersMUST HAVE2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilitiesDemonstrated experience shipping generative AI features or systems end-to-end, from prototyping through productionSolid prompt engineering and context engineering skillsWorking knowledge of evaluation design and data labeling strategies for LLM applicationsExperience withRAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)Agentic patterns (tool use, routing, memory management)AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystemsStrong foundation in software engineering, system design, and production-grade deploymentFamiliarity with cost and latency tradeoffs when working with LLM workloadsClear communication skills with the ability to explain technical concepts to non-technical collaboratorsComfort operating in high-ambiguity, collaborative environmentsExperience in client-facing consulting or enterprise transformation environments is a strong plusWORKING MODEL & TRAVELThis role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.

WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHAT MAKES US A GREAT PLACE TO WORKWHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.Glassdoor’s Best Places to Work list

WHO YOU'LL WORK WITH

WHO YOU'LL WORK WITHWHO YOU'LL WORK WITH

You'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

You'll join our engineering experts within the AI, Insights & Solutions (AIS) team . This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.AI, Insights & Solutions (AIS) team

WHERE YOU'LL FIT WITHIN THE TEAM

WHERE YOU'LL FIT WITHIN THE TEAMWHERE YOU'LL FIT WITHIN THE TEAM

The Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.

The Senior AI Engineer will build and ship generative AI systems and agentic solutions for Bain's clients. You will contribute across the development lifecycle -- from prototyping through to production deployment -- working closely with engineers, product managers, and data scientists. This is a hands-on individual contributor role focused on delivering high-quality technical output and deepening your expertise across the AI Engineering skillset.

WHAT YOU'LL DO

WHAT YOU'LL DOWHAT YOU'LL DO

• Build and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applications

Build and deploy end-to-end generative AI systems, including agentic workflows and production-grade AI applications

• Build and iterate on multi-component AI pipelines, including:

Build and iterate on multi-component AI pipelines, including:

• Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG)

• Fine-tuning and parameter-efficient tuning

Fine-tuning and parameter-efficient tuning

• Embedding generation and optimization

Embedding generation and optimization

• Hybrid retrieval strategies (vector, graph, keyword)

Hybrid retrieval strategies (vector, graph, keyword)

• Implement tool use, function calling, and orchestration across AI workflows

Implement tool use, function calling, and orchestration across AI workflows

• Build agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integration

Build agentic systems with sound engineering principles around separation of concerns, memory architecture, and tool integration

• Contribute across the full stack: model experimentation, evaluation design, and production system deployment

Contribute across the full stack: model experimentation, evaluation design, and production system deployment

• Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability

Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability

• Support GenAIOps processes including automated testing, regression evaluation, and latency monitoring

Support GenAIOps processes including automated testing, regression evaluation, and latency monitoring

• Apply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflows

Apply performance, safety, and responsible AI principles across system design, including guardrails, fallbacks, and human-in-the-loop (HITL) workflows

• Build evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and cost

Build evaluation frameworks covering hallucination rate, factual consistency, relevance, latency, throughput, and cost

• Collaborate effectively with product, engineering, data science, and infrastructure teams

Collaborate effectively with product, engineering, data science, and infrastructure teams

• Communicate technical findings clearly to cross-functional stakeholders

Communicate technical findings clearly to cross-functional stakeholders

MUST HAVE

MUST HAVEMUST HAVE

• 2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilities

2-4+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilities

• Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production

Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production

• Solid prompt engineering and context engineering skills

Solid prompt engineering and context engineering skills

• Working knowledge of evaluation design and data labeling strategies for LLM applications

Working knowledge of evaluation design and data labeling strategies for LLM applications

• Experience with

Experience with

• RAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)

RAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)

• Agentic patterns (tool use, routing, memory management)

Agentic patterns (tool use, routing, memory management)

• AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems

AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems

• Strong foundation in software engineering, system design, and production-grade deployment

Strong foundation in software engineering, system design, and production-grade deployment

• Familiarity with cost and latency tradeoffs when working with LLM workloads

Familiarity with cost and latency tradeoffs when working with LLM workloads

• Clear communication skills with the ability to explain technical concepts to non-technical collaborators

Clear communication skills with the ability to explain technical concepts to non-technical collaborators

• Comfort operating in high-ambiguity, collaborative environments

Comfort operating in high-ambiguity, collaborative environments

• Experience in client-facing consulting or enterprise transformation environments is a strong plus

Experience in client-facing consulting or enterprise transformation environments is a strong plus

WORKING MODEL & TRAVEL

WORKING MODEL & TRAVELWORKING MODEL & TRAVEL

• This role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.

This role requires a minimum of 3 days per week working together in person, either at a client location or at your Bain home office.

• Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.

Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.