Required Skills & Experience
- 5+ years in AI/ML engineering, with 3+ years in GenAI/LLM projects.
- Strong expertise in AWS cloud services (SageMaker, Bedrock, ECS/EKS, Lambda).
- Hands‑on experience with LLM frameworks (LangChain, Lyzr, RAG pipelines).
- Proven track record of production‑level deployments in enterprise environments.
- Familiarity with multi‑agent orchestration and agent factory concepts.
- Strong knowledge of Python, APIs, microservices, CI/CD pipelines.
- Experience in enterprise governance, compliance, and monitoring frameworks.
- Excellent communication skills to distill technical achievements into executive‑ready messaging.
Preferred Qualifications
- Background in regulated industries or enterprise AI delivery.
- Experience with QA automation and LLM‑based validation metrics.
- Knowledge of data privacy, security, and enterprise risk mitigation.
- Ability to lead cross‑functional teams with empathy and precision.
