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Welldoc
Welldoc
51 – 200 Employees
H1B Visa SponsorArtificial IntelligenceHealthcareHealthcare Insurance
Welldoc is a healthcare technology company developing AI-driven digital tools for chronic condition management. Its platform provides personalized insights and support across diabetes, hypertension, heart failure, weight management, prediabetes, and mental wellbeing. The company’s flagship BlueStar product is FDA-cleared for diabetes self-management and connects with more than 400 devices. Welldoc works with health plans, healthcare systems, and employers to support better interventions, population health outcomes, and more efficient care.
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Associate Director, Data and AI – Welldoc, Bangalore Hybrid

Lead healthcare data platforms and generative AI products, including RAG systems and agentic workflows. Build compliant solutions across Databricks, Azure, and US healthcare standards.

INIndiaHybridFull-timeSeniorEnglish RequiredArtificial Intelligence
AzureCloudETL

Description

  • Own the strategy, roadmap, and end-to-end delivery of enterprise data platforms and AI/LLM products.
  • Partner with business stakeholders to uncover needs and translate workflows into scalable data and AI solutions.
  • Maintain compliance with applicable US healthcare standards and regulations across data and AI products.
  • Architect and direct generative AI applications, RAG pipelines, and autonomous agent workflows.
  • Create orchestration architectures with frameworks such as LangChain and LangGraph.
  • Assess and integrate foundation models including Anthropic Claude, Azure OpenAI, and open-source options.
  • Develop safeguards for content safety, hallucination detection, and prompt-injection protection.
  • Lead data architecture across Databricks and the Microsoft Azure ecosystem.
  • Oversee scalable ETL/ELT pipelines, data models, and healthcare integrations using FHIR, HL7, and EHR data.
  • Improve lakehouse performance, query response times, and storage efficiency in partnership with data engineering teams.
  • Define enterprise Data and AI Governance practices covering lineage, cataloging, access controls, and model explainability.
  • Build and expand AIOps and MLOps capabilities for monitoring, prompt logging, drift detection, model evaluation, and cost control.
  • Work with Information Security and Regulatory teams to support compliance requirements.
  • Prototype, develop, and scale AI-first products with product, data, and engineering partners.
  • Engage with clients periodically and explain complex technical topics to business leaders.

Requirements

  • At least 15 years of professional experience.
  • Advanced hands-on expertise in Retrieval-Augmented Generation pipelines.
  • Working knowledge of frontier models such as GPT-4, Claude, and LLaMA.
  • Experience with orchestration tools including CrewAI, LangGraph, AutoGen, or the OpenAI SDK.
  • Strong communication and stakeholder management capabilities.
  • Track record of taking enterprise data platforms and AI/LLM products from concept through production.
  • Experience applying US healthcare standards and regulations, including HIPAA, HITRUST, SOC 2, and PHI/PII controls.
  • Hands-on experience with LLM orchestration frameworks such as LangChain and LangGraph.
  • Direct experience using advanced foundation models, including Anthropic Claude and GPT-4, through APIs or cloud deployments.
  • Strong understanding of AI guardrails, including NVIDIA NeMo Guardrails, Llama Guard, Guardrails AI, or custom validation pipelines.
  • Experience operationalizing AI systems through monitoring, RAGAS or TruLens evaluation, observability, and prompt versioning.
  • Experience with healthcare interoperability standards such as FHIR and HL7 is preferred.
  • Hands-on experience with vector databases such as Pinecone, Qdrant, Azure AI Search, and Databricks Vector Search is preferred.
  • Certifications such as Azure Solutions Architect, Databricks Certified Data Engineer or Machine Learning Professional, or Scrum Product Owner are preferred.

Benefits

  • Hybrid work arrangement.
  • Work from the office four days per week.

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