Job Title: Gen AI Architect – Life Sciences (Commercial Analytics & GenAI)*
Location: Hybrid Santa Monica, CA / Raleigh, NC / Remote
Duration: 12+Months
Job Description:
Role*: Lead enterprise-scale AI/GenAI solutions for Pharma Commercial Ops. Build secure, scalable platforms using *AWS Bedrock, Databricks (Genie), Copilot frameworks*, integrated with *IQVIA, Symphony, Patient/Claims, Veeva CRM & Digital* data.
Responsibilities:
AI/GenAI Arch*: Design GenAI solutions on AWS Bedrock (RAG, Agents, FMs), Databricks Lakehouse/Genie, Enterprise Copilots. Architectures for conversational analytics, insights assistants, auto-reporting, N-B-A engines.
🔗 Data Engineering*: Build E2E pipelines for IQVIA (Xponent, LAAD), Symphony, Open/Closed Claims, Veeva CRM, Digital. Data harmonization, semantic modeling, Delta Lake/Spark.
Use Cases*: HCP targeting/segmentation, omnichannel optimization, field force effectiveness, patient journey/adherence, market access/payer analytics, RAG + copilots for brand/field teams.
Governance: HIPAA, privacy, Responsible AI, data security, lineage & access controls.
Stakeholders: Partner with Sales, Marketing, Market Access, Data & EA teams. Translate business needs to AI roadmaps, support solutioning & client engagements.
Required: 10-15+ yrs in Data/AI Architecture, 5+ yrs in Life Sciences Commercial. Hands-on with IQVIA, Symphony, Claims/Patient data, Veeva. AWS Bedrock (mandatory), Databricks, Copilot. Python, PySpark, SQL. LLMs, RAG, embeddings, vector search, NLP. Strong AWS.
Preferred: AI copilots at scale, Salesforce Data Cloud/Data 360, Digital marketing platforms, LLMOps/MLOps, RWD/RWE.
Deliverables: AI/GenAI blueprints, production-grade AI solutions, commercial AI roadmap, reusable accelerators (RAG, copilots, semantic layers).
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