About the role
Responsibilities:
- Define the enterprise AI technology roadmap and solution architecture.
- Lead multiple AI engineering teams as technical leads.
- Architect scalable solutions using generative AI, LLMs, RAG, agentic AI, MCP, machine learning, and multimodal AI.
- Develop reusable AI platforms, services, frameworks, and engineering standards.
- Own delivery planning, execution, dependencies, risks, and release readiness.
- Conduct architecture and critical code reviews and guide the resolution of complex technical issues.
- Establish standards for AI evaluation, security, governance, testing, observability, reliability, and cost optimization.
- Partner with business and technology leaders to prioritize initiatives and define measurable outcomes.
- Mentor technical leaders through coaching, technical guidance, knowledge sharing, and engineering best practices.
Requirements:
- 7+ years of experience in software engineering, AI/ML, architecture, or technology delivery.
- Proven experience delivering production-grade AI or generative AI solutions.
- Experience leading multiple engineering teams or technical leads.
- Strong knowledge of LLMs, RAG, agentic systems, MCP, machine learning, and AI evaluation.
- Strong experience with Python, APIs, microservices, distributed systems, and SQL.
- Experience with cloud AI services, Docker, Kubernetes, CI/CD, MLOps/LLMOps, and observability.
- Strong stakeholder management, technical decision-making, and delivery ownership.