Head of Artificial Intelligence

Required Skills & Experience

12–15 years of overall experience with 5–7 years in AI / ML and 3+ years in Generative AI / LLM architecture.

Strong hands-on experience with RAG pipelines, vector search, and semantic retrieval.

Proven experience integrating LLMs (OpenAI, Claude, Gemini, Mistral, etc.) using frameworks such as LangChain, LlamaIndex, or PromptFlow.

Deep understanding of MCP servers – configuration, context routing, memory management, and protocol-based interoperability.

Strong programming skills in Python, and familiarity with containerization (Docker, Kubernetes) and cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI).

Expertise in MLOps / LLMOps tools (MLflow, KubeFlow, LangSmith, Weights & Biases).

Solid grounding in data engineering, pipelines, and orchestration tools (Airflow, Prefect).

Excellent communication, client engagement, and technical presentation skills

Proven track record of practice building or leadership in emerging technology domains.