{"id":2169274,"url":"https://alion.io/job/welldoc-associate-director-data-and-ai","title":"Associate Director - Data and AI","company":{"id":2245738,"name":"Welldoc","domain":"welldoc.com","url":"https://alion.io/company/welldoc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":149000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AutoGen","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"GPT-4","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"RAG","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AIOps","optional":true},{"name":"Anthropic","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Guardrails AI","optional":true},{"name":"Hallucination","optional":true},{"name":"HIPAA","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Machine Learning","optional":true},{"name":"NeMo Guardrails","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"Scrum","optional":true},{"name":"SOC 2","optional":true},{"name":"TruLens","optional":true}],"status":"live","first_seen_at":"2026-10-08T18:48:31Z","employer_posted_date":null,"last_verified_at":"2026-10-08T18:48:31Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Purpose\n\nWe 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.\n\nYou 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.\n\nLocation : Bangalore (Hybrid Work Model, 4 day work from office)\n\nExperience : 15+ years\n\n Product Leadership & Domain Execution\n\nLead the strategy, roadmap, and delivery of enterprise data platforms and AI/LLM-powered products from conceptualization to production.\n\nDrive product discovery and requirements with business stakeholders, translating workflows and pain points into scalable data and AI solutions.\n\nEnsure all data and AI products strictly adhere to US Healthcare standards and regulations (HIPAA, HITRUST, SOC2, PHI/PII handling).\n\n AI Engineering & Solution Architecture\n\nArchitect and oversee the implementation of Generative AI applications, RAG (Retrieval-Augmented Generation) pipelines, and autonomous agentic workflows.\n\nDesign robust orchestration systems using modern frameworks such as LangChain and LangGraph.\n\nEvaluate and integrate state-of-the-art foundation models (including Anthropic Claude, Azure OpenAI models, and open-source alternatives).\n\nImplement robust AI Guardrails (content safety, hallucination detection, prompt injection defense) to guarantee compliance, safety, and deterministic behavior in clinical or operational workflows.\n\n Data Platform & Infrastructure\n\nLead data architecture efforts leveraging Databricks (Delta Lake, Unity Catalog) and the Microsoft Azure tech stack.\n\nOversee scalable ETL/ELT pipelines, data modeling, and data integrations involving healthcare data standards (FHIR, HL7, EHR data).\n\nCollaborate with data engineering teams to optimize lakehouse performance, query speed, and storage efficiency.\n\n Data & AI Governance, Security, and AIOps\n\nEstablish enterprise-wide Data & AI Governance practices, including data lineage, cataloging, access controls, and model explainability.\n\nBuild and scale AIOps & MLOps operational frameworks to ensure continuous monitoring, prompt logging, drift detection, model evaluation, and cost optimization.\n\nWork closely with Information Security and Regulatory teams to ensure compliance across all data pipelines and AI deployments.\n\nAI & LLM Engineering\n\nDemonstrated hands-on experience with LLM orchestration frameworks (LangChain, LangGraph).\n\nDirect experience working with advanced foundation models (e.g., Anthropic Claude, GPT-4) via APIs or cloud deployments.\n\nDeep understanding of guardrailing tools and techniques (NVIDIA NeMo Guardrails, Llama Guard, Guardrails AI, or custom validation pipelines).\n\nAIOps & MLOps: Proven track record in operationalizing AI systems—including monitoring, evaluation frameworks (RAGAS, TruLens), observability, and prompt versioning.\n\nLeadership & Communication: Excellent stakeholder management skills with the ability to articulate complex technical and AI concepts to non-technical business leaders.\n\nPreferred / Nice-to-Have Skills\n\nExperience with healthcare interoperability standards (FHIR, HL7).\n\nHands-on experience with vector databases (Pinecone, Qdrant, Azure AI Search, Databricks Vector Search).\n\nCertifications: Azure Solutions Architect, Databricks Certified Data Engineer / Machine Learning Professional, or Scrum Product Owner.","description_format":"text","description_chars":3843,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Hospitals & Health Systems"],"lifecycle":[{"event":"open","at":"2026-10-09T11:09:30Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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