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.
