Sr Technology Consultant - Apps & AI

Collaborate with internal stakeholders in the pre-sales process to understand customer business, technical, and security requirements and provide industry and technical input/ solution to shape the deal. Support drafting proposals, Statements of Work (SOWs), solution architectures, staffing requirements, and delivery estimates by contributing technical guidance and reusable solution approaches. Communicate the business value of planned solutions to customers and partners, serving as a trusted advisor throughout the engagement lifecycle. Facilitate technical workshops and customer conversations that explain architecture decisions, implementation approaches, security considerations, and expected business outcomes. Identify technical and business risks across programs and projects, propose mitigations, and communicate dependencies, tradeoffs, and delivery considerations to customers and internal teams. Manages escalations, analyzes situations, and coordinates appropriate resources to resolve issues by following delivery practices, considering cost implications, maintaining a security-first mindset and engaging in conversations with internal and external stakeholders (e.g., Customer Service and Support, Project Manager, Solution Architect, Product Group) as needed. Act as an ambassador in the consumption of intellectual property (IP) by leveraging and/or modifying existing IP or creating repeatable content where applicable, and by providing feedback to improve Industry Solutions offerings and scale delivery quality. Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 3+ years leadership experience in technology solutioning and consulting OR equivalent experience This role requires proficiency in written, reading, and conversational Brazilian Portuguese and English, with the ability to communicate effectively with customers, executives, and cross-functional stakeholders. LLM Orchestration & Agent Frameworks Hands-on experience with orchestration frameworks such as Semantic Kernel, LangChain, or LangGraph, building multi-step chains, tool integrations, and agent-based workflows. Azure AI Ecosystem Experience with Azure OpenAI Service and Azure AI Foundry, including model deployment, capacity management, embeddings, and integration with Azure AI Search (Vector Search). RAG (Retrieval-Augmented Generation) Ability to design and implement RAG solutions optimized for performance, accuracy, and cost, using Azure-native services and/or orchestration frameworks. Agent-Based Design & Scaling Experience designing and implementing Agent Factory / AI Factory patterns, including reusable templates, shared components, governance standards, accelerators, and controlled autonomy to enable scaling across business domains. Agent Capabilities & Enterprise Integration Knowledge of tool/function calling, connected agents, tool catalogs, and integration with enterprise APIs, including capabilities such as code execution, document processing, and web/data grounding. Event-Driven AI Systems Experience designing event-driven agents reacting to enterprise signals such as queues, documents, tickets, emails, and operational workflows. Prompt Engineering & Observability Strong understanding of prompt engineering, structured outputs, caching strategies, and LLM observability/monitoring practices. Evaluation & Quality Frameworks Experience defining and executing evaluation strategies, including golden dataset creation, dataset curation, metric design, and use of frameworks such as RAGAS or Azure AI Foundry Evaluation SDK. Responsible AI Solid understanding of Responsible AI principles, including security, guardrails, red teaming, AI safety, and ethical considerations. Architecture & Engineering Experience with Azure DevOps, GitHub Actions, and infrastructure-as-code tools such as Terraform, Bicep, and ARM Templates. Deep knowledge of Azure cloud platform services, including compute, networking, identity, data, and AI services. Development Languages Proficiency in modern programming languages, such as C#, JavaScript, and Python. Data & Application Foundations 5+ years of leadership experience in relevant area of business. Technical certifications based on domain (Azure Administrator Associate, DevOps Engineer Expert, Azure Solutions Architect Expert, Azure AI Engineer or similar). Advanced in Professional Spanish