AI Architect - Life Sciences Commercial Analytics & GenAI - The Akanksha LLC

We need AI Architect profiles with AWS Bedrock (must have) + Databricks (must have) + Pharma commercial background (must have).

Job Description: AI Architect – Life Sciences (Commercial Analytics & GenAI)\

Location: Santa Monica , CA / Raleigh , NC

Role Overview

We are seeking a highly experienced AI Architect to lead the design and implementation of enterprise-scale AI/GenAI solutions for Life Sciences Commercial Operations. This role will focus on building scalable, secure, and business-driven AI platforms leveraging AWS Bedrock, Databricks (including Genie), and enterprise Copilot frameworks , along with deep integration of pharma commercial datasets (IQVIA, Symphony, patient, claims, Veeva CRM, and digital data) .

The ideal candidate brings a strong combination of GenAI architecture expertise and Life Sciences commercial domain knowledge .

Key Responsibilities

AI / GenAI Architecture

• Design and implement GenAI-powered solutions using:
• AWS Bedrock (foundation models, agents, RAG architectures)
• Databricks Lakehouse & Genie (semantic layer, AI-assisted querying)
• Enterprise Copilot solutions integrated into business workflows
• Define reference architectures for:
• Conversational analytics platforms
• Intelligent commercial insights assistants
• Automated reporting and summarization
• Next-best-action and recommendation engines

Data & Platform Engineering

• Architect end-to-end data pipelines integrating:
• IQVIA data (Xponent, LAAD, etc.)
• Symphony datasets
• Patient and claims data (open & closed claims)
• Veeva CRM data
• Digital marketing and engagement platforms
• Enable data harmonization, semantic modeling, and AI-ready datasets
• Leverage Databricks (Delta Lake, Spark) and AWS-native services

Advanced Analytics & AI Use Cases

• Drive high-value use cases such as:
• HCP targeting, segmentation, and profiling
• Omnichannel engagement optimization
• Sales force effectiveness analytics
• Patient journey and adherence insights
• Market access and payer analytics
• Develop RAG-based solutions combining structured and unstructured data
• Build AI copilots for business users (brand teams, field force, market access)

Pay: $80.00 - $85.00 per hour

Benefits:

• 401(k)

Work Location: In person