Associate Director - Data and AI

Job Purpose

We are seeking a highly motivated and skilled AI Engineer to join our team and drive innovation in the fast-evolving landscape of Generative AI. The ideal candidate will have deep hands-on expertise in RAG (Retrieval-Augmented Generation) pipelines and working familiarity with Frontier Models (e.g., GPT-4, Claude, LLaMA, etc.). Exposure to cutting-edge orchestration frameworks like CrewAI, LangGraph, Autogen, or OpenAI SDK is highly desirable.

You will work closely with product, data, and engineering teams to prototype, build, and scale AI-first solutions that deliver tangible business impact. Strong communication skills are key, as you’ll be working with cross-functional teams and occasionally interfacing with clients.

Location : Bangalore (Hybrid Work Model, 4 day work from office)

Experience : 15+ years

• Product Leadership & Domain Execution

• Lead the strategy, roadmap, and delivery of enterprise data platforms and AI/LLM-powered products from conceptualization to production.
• Drive product discovery and requirements with business stakeholders, translating workflows and pain points into scalable data and AI solutions.
• Ensure all data and AI products strictly adhere to US Healthcare standards and regulations (HIPAA, HITRUST, SOC2, PHI/PII handling).

• AI Engineering & Solution Architecture

• Architect and oversee the implementation of Generative AI applications, RAG (Retrieval-Augmented Generation) pipelines, and autonomous agentic workflows.
• Design robust orchestration systems using modern frameworks such as LangChain and LangGraph.
• Evaluate and integrate state-of-the-art foundation models (including Anthropic Claude, Azure OpenAI models, and open-source alternatives).
• Implement robust AI Guardrails (content safety, hallucination detection, prompt injection defense) to guarantee compliance, safety, and deterministic behavior in clinical or operational workflows.

• Data Platform & Infrastructure

• Lead data architecture efforts leveraging Databricks (Delta Lake, Unity Catalog) and the Microsoft Azure tech stack.
• Oversee scalable ETL/ELT pipelines, data modeling, and data integrations involving healthcare data standards (FHIR, HL7, EHR data).
• Collaborate with data engineering teams to optimize lakehouse performance, query speed, and storage efficiency.

• Data & AI Governance, Security, and AIOps

• Establish enterprise-wide Data & AI Governance practices, including data lineage, cataloging, access controls, and model explainability.
• Build and scale AIOps & MLOps operational frameworks to ensure continuous monitoring, prompt logging, drift detection, model evaluation, and cost optimization.
• Work closely with Information Security and Regulatory teams to ensure compliance across all data pipelines and AI deployments.

AI & LLM Engineering

• Demonstrated hands-on experience with LLM orchestration frameworks (LangChain, LangGraph).
• Direct experience working with advanced foundation models (e.g., Anthropic Claude, GPT-4) via APIs or cloud deployments.
• Deep understanding of guardrailing tools and techniques (NVIDIA NeMo Guardrails, Llama Guard, Guardrails AI, or custom validation pipelines).
• AIOps & MLOps: Proven track record in operationalizing AI systems—including monitoring, evaluation frameworks (RAGAS, TruLens), observability, and prompt versioning.
• Leadership & Communication: Excellent stakeholder management skills with the ability to articulate complex technical and AI concepts to non-technical business leaders.

Preferred / Nice-to-Have Skills

• Experience with healthcare interoperability standards (FHIR, HL7).
• Hands-on experience with vector databases (Pinecone, Qdrant, Azure AI Search, Databricks Vector Search).
• Certifications: Azure Solutions Architect, Databricks Certified Data Engineer / Machine Learning Professional, or Scrum Product Owner.