AI Engineering Manager

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Establish the technical direction for Generative AI and Agentic AI solutions primarily utilizing Microsoft Azure.

• Oversee the design and implementation of solutions leveraging Azure AI Foundry and Microsoft Fabric.

• Create scalable frameworks for agentic workflows, encompassing agents, skills, tools, orchestration, memory, and integration with enterprise systems.

• Spearhead the architecture of RAG and knowledge-based AI systems, focusing on retrieval, chunking, embeddings, vector search, grounding, and knowledge graphs.

• Set technical standards for the development, testing, evaluation, and deployment of AI applications.

• Define and manage AI evaluation methodologies to assess quality, accuracy, relevance, reliability, safety, and performance.

• Advise teams on model selection, retrieval strategies, agent architectures, and AI technologies.

• Evaluate technical designs and architectural choices while providing hands-on technical support.

• Guide the transition of AI solutions from experimental and proof-of-concept phases to stable production systems.

• Build and mentor a team of Senior AI Engineers and other technical experts.

• Collaborate with Product, Data, Engineering, and business leadership to identify and prioritize AI opportunities.

• Develop reusable frameworks, components, and engineering practices for various AI initiatives.

• Manage technical risks, dependencies, scalability factors, and delivery across multiple AI projects.

• Convey intricate AI architectures and technical trade-offs to both technical and non-technical stakeholders.

• Stay updated on advancements in agentic AI, LLMs, Azure AI, AI evaluation, knowledge graphs, and enterprise AI architectures.

⛳️ Requirements

• Extensive hands-on experience with Azure AI Foundry — required.

• Significant experience in designing and implementing Agentic AI and agentic workflows — required.

• Strong expertise in RAG architectures — required.

• Profound practical knowledge of graphs and knowledge graphs — required.

• In-depth understanding of chunking, embeddings, retrieval, and vector search — required.

• Proven experience in designing and implementing AI agents, skills, tools, and orchestration patterns — required.

• Familiarity with LLM and AI evaluation frameworks and methodologies — required.

• Strong experience with Microsoft Fabric or similar Azure data platforms — strongly preferred.

• Demonstrated experience leading highly technical AI or software engineering teams.

• Experience in owning the architecture and technical strategy for intricate AI initiatives.

• Strong software engineering foundation, preferably with Python and cloud-native architectures.

• Experience in transitioning AI solutions from experimentation to large-scale production.

• Excellent communication, stakeholder management, and technical leadership skills.

• Experience in financial services, banking, lending, insurance, or related fields — nice to have.

• Experience with enterprise-scale AI implementations — nice to have.

• Familiarity with multi-agent systems and advanced orchestration patterns — nice to have.

• Experience with AI governance, observability, responsible AI, and security — nice to have.

• Experience in establishing AI engineering standards and evaluation frameworks across an organization — nice to have.

• Experience with Azure DevOps, CI/CD, and cloud infrastructure — nice to have.

🏝️ Benefits

• Certifications in AWS, Databricks, and Snowflake.

• Access to AI learning paths.

• Customized study plans, courses, and additional certifications relevant to the role.

• Access to Udemy Business.

• English language lessons.

• Opportunities for travel to industry conferences and client meetings.

• Career development plans and mentorship initiatives.

• Special rewards for birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• Flexible working arrangements.

• Additional benefits may vary based on your location in LATAM.