AI Architect

Overview

In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results. As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities. This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow. Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results. As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities. This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow. Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results. As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities. This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow. Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.

In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results.

In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results.

As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities.

As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities.

This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.

This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.

We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow.

We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow.

Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.

Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.

Responsibilities

Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilitiesDevelop architectural standards, patterns, and reference architectures for AI solutions.Work alongside engineering, data, security, and business teams to design scalable and secure AI solutionsEstablish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategyReview AI solution designs and provide architectural guidance throughout delivery.Establish engineering standards covering code quality, testing, automation, deployment, and operational readinessLead proof-of-concepts and technical evaluations of new AI technologies and platformsSupport the development of operational approaches for deploying, monitoring, and maintaining AI solutions in productionPartner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirementsPromote responsible and secure use of AI across the organizationProvide technical leadership and mentoring within the AI CoE and wider technology communityStay informed on AI developments and assess their relevance to WatersDefine enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilitiesDevelop architectural standards, patterns, and reference architectures for AI solutions.Work alongside engineering, data, security, and business teams to design scalable and secure AI solutionsEstablish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategyReview AI solution designs and provide architectural guidance throughout delivery.Establish engineering standards covering code quality, testing, automation, deployment, and operational readinessLead proof-of-concepts and technical evaluations of new AI technologies and platformsSupport the development of operational approaches for deploying, monitoring, and maintaining AI solutions in productionPartner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirementsPromote responsible and secure use of AI across the organizationProvide technical leadership and mentoring within the AI CoE and wider technology communityStay informed on AI developments and assess their relevance to WatersDefine enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilitiesDevelop architectural standards, patterns, and reference architectures for AI solutions.Work alongside engineering, data, security, and business teams to design scalable and secure AI solutionsEstablish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategyReview AI solution designs and provide architectural guidance throughout delivery.Establish engineering standards covering code quality, testing, automation, deployment, and operational readinessLead proof-of-concepts and technical evaluations of new AI technologies and platformsSupport the development of operational approaches for deploying, monitoring, and maintaining AI solutions in productionPartner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirementsPromote responsible and secure use of AI across the organizationProvide technical leadership and mentoring within the AI CoE and wider technology communityStay informed on AI developments and assess their relevance to Waters

• Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities

Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities

• Develop architectural standards, patterns, and reference architectures for AI solutions.

Develop architectural standards, patterns, and reference architectures for AI solutions.

• Work alongside engineering, data, security, and business teams to design scalable and secure AI solutions

Work alongside engineering, data, security, and business teams to design scalable and secure AI solutions

• Establish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategy

Establish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategy

• Review AI solution designs and provide architectural guidance throughout delivery.

Review AI solution designs and provide architectural guidance throughout delivery.

• Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness

Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness

• Lead proof-of-concepts and technical evaluations of new AI technologies and platforms

Lead proof-of-concepts and technical evaluations of new AI technologies and platforms

• Support the development of operational approaches for deploying, monitoring, and maintaining AI solutions in production

Support the development of operational approaches for deploying, monitoring, and maintaining AI solutions in production

• Partner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirements

Partner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirements

• Promote responsible and secure use of AI across the organization

Promote responsible and secure use of AI across the organization

• Provide technical leadership and mentoring within the AI CoE and wider technology community

Provide technical leadership and mentoring within the AI CoE and wider technology community

• Stay informed on AI developments and assess their relevance to Waters

Stay informed on AI developments and assess their relevance to Waters

Qualifications

Bachelor's or Master's degree in a relevant field or equivalent practical experience.10 years + experience in enterprise, solution, cloud, data, or application architecture rolesProven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environmentStrong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patternsExperience with at least one major cloud platform (AWS, Azure, or GCP)Understanding of the lifecycle and operational management of AI solutions in production environmentsHands-on experience with Python and common AI/ML toolingStrong understanding of APIs, distributed systems, microservices, and modern software architecture principlesExperience working with data platforms, data pipelines, and enterprise data architecturesExposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficialUnderstanding of AI governance, security, risk, and Responsible AI principles.Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholdersExperience influencing technical direction, facilitating workshops, and mentoring othersInterested, but don't tick every box?Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolveBachelor's or Master's degree in a relevant field or equivalent practical experience.10 years + experience in enterprise, solution, cloud, data, or application architecture rolesProven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environmentStrong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patternsExperience with at least one major cloud platform (AWS, Azure, or GCP)Understanding of the lifecycle and operational management of AI solutions in production environmentsHands-on experience with Python and common AI/ML toolingStrong understanding of APIs, distributed systems, microservices, and modern software architecture principlesExperience working with data platforms, data pipelines, and enterprise data architecturesExposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficialUnderstanding of AI governance, security, risk, and Responsible AI principles.Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholdersExperience influencing technical direction, facilitating workshops, and mentoring othersInterested, but don't tick every box?Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolveBachelor's or Master's degree in a relevant field or equivalent practical experience.10 years + experience in enterprise, solution, cloud, data, or application architecture rolesProven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environmentStrong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patternsExperience with at least one major cloud platform (AWS, Azure, or GCP)Understanding of the lifecycle and operational management of AI solutions in production environmentsHands-on experience with Python and common AI/ML toolingStrong understanding of APIs, distributed systems, microservices, and modern software architecture principlesExperience working with data platforms, data pipelines, and enterprise data architecturesExposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficialUnderstanding of AI governance, security, risk, and Responsible AI principles.Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholdersExperience influencing technical direction, facilitating workshops, and mentoring othersInterested, but don't tick every box?Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolve

• Bachelor's or Master's degree in a relevant field or equivalent practical experience.

Bachelor's or Master's degree in a relevant field or equivalent practical experience.

• 10 years + experience in enterprise, solution, cloud, data, or application architecture roles

10 years + experience in enterprise, solution, cloud, data, or application architecture roles

• Proven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environment

Proven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environment

• Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns

Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns

• Experience with at least one major cloud platform (AWS, Azure, or GCP)

Experience with at least one major cloud platform (AWS, Azure, or GCP)

• Understanding of the lifecycle and operational management of AI solutions in production environments

Understanding of the lifecycle and operational management of AI solutions in production environments

• Hands-on experience with Python and common AI/ML tooling

Hands-on experience with Python and common AI/ML tooling

• Strong understanding of APIs, distributed systems, microservices, and modern software architecture principles

Strong understanding of APIs, distributed systems, microservices, and modern software architecture principles

• Experience working with data platforms, data pipelines, and enterprise data architectures

Experience working with data platforms, data pipelines, and enterprise data architectures

• Exposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficial

Exposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficial

• Understanding of AI governance, security, risk, and Responsible AI principles.

Understanding of AI governance, security, risk, and Responsible AI principles.

• Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholders

Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholders

• Experience influencing technical direction, facilitating workshops, and mentoring others

Experience influencing technical direction, facilitating workshops, and mentoring others

Interested, but don't tick every box?

Interested, but don't tick every box?

Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolve

Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolve