Engineering Manager

• Lead, manage, and mentor a team of AI Engineers, fostering their technical and professional growth through coaching, feedback, and career development planning.
• Cultivate a culture of innovation, collaboration, and engineering excellence within the team.
• Partner with talent acquisition to attract, hire, and retain top-tier AI engineering talent.
• Champion best practices for software development, code quality, and system design.
• Take ultimate responsibility for the successful delivery of complex AI projects and services that span multiple business tribes, ensuring alignment and seamless integration.
• Collaborate with product managers, business stakeholders, and other engineering leaders to define project roadmaps and translate business requirements into a clear technical vision.
• Effectively communicate technical strategies, project status, and results to both technical and non-technical stakeholders, including executive leadership.
• Architect Advanced Generative AI Systems: Lead the design and personally contribute to the development of autonomous AI agents that can reason, plan, and execute complex business processes by interacting with internal APIs and toolsets.
• Drive LLM Strategy: Guide the selection and application of both open-source and proprietary Large Language Models (LLMs) to create specialized agentic systems that are optimized for performance, cost, and accuracy.
• Master End-to-End Productionization (LLMOps): Implement and oversee comprehensive observability and monitoring for all team-owned AI systems using platforms like Langfuse or Datadog.
• Optimize for Quality & Cost: Establish rigorous evaluation frameworks and proactively manage the cost-efficiency of our AI systems by implementing strategies such as intelligent model routing, caching, and prompt optimization.

AI Engineering Manager

Engineering Manager