Lead AI Engineer

Key Responsibilities

• Lead AI architecture and engineering roadmap for Agentic AI platforms.
• Design and deliver scalable, production-grade AI solutions.
• Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.
• Partner with clients to translate business needs into AI solutions and lead architecture discussions.
• Mentor AI engineers, conduct design/code reviews, and drive engineering best practices.
• Lead multiple engineering teams, manage delivery, risks, and technical roadmaps.
• Evaluate and adopt emerging AI technologies and frameworks.

Required Skills

• AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
• Programming: Python (expert), Golang, REST APIs, Async Programming.
• Cloud: AWS (Bedrock/AgentCore preferred), Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, CloudWatch.
• Backend: Microservices, Docker, Kubernetes, Distributed Systems.
• Leadership: Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership.

Qualifications

• 10–15+ years in software engineering with 5+ years leading AI/ML engineering teams .
• Experience building and deploying enterprise AI platforms on AWS.
• Strong client-facing, solution architecture, and cross-functional leadership experience.

Preferred