Architect

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 Responsibilitie

sAI / GenAI Architectur

eDesign 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 workflowsDefine reference architectures for:Conversational analytics platformsIntelligent commercial insights assistantsAutomated reporting and summarizationNext-best-action and recommendation engine

s
Data & Platform Engineeri

ngArchitect end-to-end data pipelines integrating:IQVIA data (Xponent, LAAD, etc.)Symphony datasetsPatient and claims data (open & closed claims)Veeva CRM dataDigital marketing and engagement platformsEnable data harmonization, semantic modeling, and AI-ready datasetsLeverage Databricks (Delta Lake, Spark) and AWS-native servic

es
Advanced Analytics & AI Use Ca

sesDrive high-value use cases such as:HCP targeting, segmentation, and profilingOmnichannel engagement optimizationSales force effectiveness analyticsPatient journey and adherence insightsMarket access and payer analyticsDevelop RAG-based solutions combining structured and unstructured dataBuild AI copilots for business users (brand teams, field force, market acce

ss)
Governance, Security, and Compli

anceEnsure compliance with:HIPAA and global data privacy regulationsImplement Responsible AI practicesDefine data security, lineage, and access governance framew

orks
Stakeholder Engag

ementCollaborate with:Commercial stakeholders (Sales, Marketing, Market Access)Data engineering and analytics teamsEnterprise architecture teamsTranslate business needs into AI solution roadmaps and architecturesSupport solutioning, proposals, and client engage

ments
Required Qualific

ationsExpe

rience10–15+ years in data, analytics, or AI architecture5+ years in Life Sciences Commercial domainHands-on experience with:IQVIA, Symphony, Claims and Patient datasetsVeeva CRM and commercial data ecos

ystems
Technical

SkillsAI/GenAI Platforms:AWS Bedrock (mandatory)Databricks (Lakehouse, ML, Genie)Enterprise Copilot frameworksProgramming:Python, PySpark, SQLAI Techniques:LLMs, RAG architectures, embeddings, vector searchNLP and conversational AI systemsCloud:Strong expertise in AWS ec

osystem
Architecture E

xpertiseEnterprise AI architecture designData modeling (semantic layers, ontologies)API-based integration and scalable microservice

s design
Preferred Quali

ficationsExperience building AI copilots or conversational assistants at scaleFamiliarity with:Salesforce Data Cloud / Data 360Digital marketing platformsExperience with LLMOps / MLOps frameworksKnowledge of patient analytics and real-world data

(RWD/RWE)
Leadership & S

oft SkillsStrong executive communication skillsAbility to influence cross-functional stakeholdersExperience leading architecture reviews and governance forumsOutcome-driven mindset focused on busin

ess impact
Key D

eliverablesAI/GenAI architecture blueprintsProduction-grade AI solutionsCommercial AI use case roadmapReusable accelerators (RAG pipelines, copilots, seman

tic layers)