AI Engineering Team Lead

We’re looking for someone with a strong software engineering background and real hands-on AI experience- a leader who can think strategically, but is still comfortable diving into architecture, reviewing code, and solving complex technical challenges alongside the team.

This role combines two key missions: enabling business units across the organization to develop AI solutions independently within secure and governed environments, while also building complex AI solutions for strategic business needs.

What You’ll Do

• Lead the development of secure, governed AI environments, including CI/CD security gates, LLM Gateway, Paved Roads, and approved development templates.
• Provide hands-on technical leadership for the AI development team, including architecture, code reviews, and complex problem-solving.
• Own project intake, risk classification, data governance, and controlled access to databases and data repositories, including Vector Databases for RAG.
• Work closely with the organization’s Azure architecture, Information Security, Compliance, and business units.
• Build and lead the team, establish engineering standards, and support professional development.

What We’re Looking For

• B.Sc. or higher in Computer Science, Software Engineering, Information Systems Engineering, or a related technological field.
• 6+ years of software engineering experience, including significant hands-on AI/LLM development and architecture experience.
• Hands-on experience with LLM APIs, RAG, Prompt Engineering, AI Agents, and tools such as Azure OpenAI, Claude, or equivalent technologies.
• Experience with CI/CD infrastructure and enterprise cloud environments.
• Practical knowledge of SQL/NoSQL databases, data governance, and controlled data access.
• Previous experience managing or leading an engineering team.
• Strong system-level thinking and the ability to bridge technical and business perspectives, while balancing innovation with security, governance, and regulatory requirements.

Nice to Have

• Experience building an Internal Developer Platform.
• Familiarity with Vector Databases, Embeddings, and Agentic AI Workflows.
• Experience working in an enterprise organization with regulatory requirements and multiple business units.
• Relevant Azure certifications.