Architect, AI Engineer (Applied​/Software)

Job Description:

AI Architect – Life Sciences (Commercial Analytics & GenAI)

Location:

Santa Monica , CA / Raleigh , NCRole 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
.

• eDesign and implement GenAI-powered solution
  s using
• :
  
  AWS Bedrock (foundation models, agents, RAG architectures
• )Databricks Lakehouse & Genie (semantic layer, AI-assisted querying
• )Enterprise Copilot solutions integrated into business workflow
• sDefine reference architecture
  s for
• :
  
  Conversational analytics platform
• sAutomated reporting and summarizatio
• nNext-best-action and recommendation engine
• ng Architect end-to-end data pipelin
  es integratin
• ts Patient and claims data (open & closed claim
• ta Digital marketing and engagement platfor
• ms Enable data harmonization, semantic modeling, and AI-ready datase
• ts Leverage Databricks (Delta Lake, Spar
  k) and AWS-native servic

• as:
  
  HCP targeting, segmentation, and profil
• ion Sales force effectiveness analyt
• ics Patient journey and adherence insig
• hts Market access and payer analyt
• ics Devel
  op RAG-based soluti
  ons combining structured and unstructured d
• ataBui
  ld AI copilots for business us
  ers (brand teams, field force, market acce

• ance Ensure compliance w
• ith:
  
  HIPAA and global data privacy regulat
• ions Implem
  ent Responsible AI pract
  icesDef
  ine data security, lineage, and access governance framew

• with:
  
  Commercial stakeholders (Sales, Marketing, Market Ac
• cess)
  Data engineering and analytics
• teams
  
  Translate business needs into AI solution roadmaps and architec
• turesSup
  port solutioning, proposals, and client engage

• rience
  10–15+ yea
  rs in data, analytics, or AI archit
• ecture5+ yea
  rs in Life Sciences Commercial
• with:
  
  IQVIA, Symphony, Claims and Patient da
• tasets
  
  Veeva CRM and commercial data ecos

• SkillsAI/GenAI Pla
• tforms:
  
  AWS Bedrock (man
• datory)
  Databricks (Lakehouse, ML,
• Genie)
  Enterprise Copilot fra
• meworksProgr
• amming:
  
  Python, Py Spa
• rk, SQLAI Tech
• searchNLP and conversational AI
• system
• sCloud:
  
  Strong expert
  ise in AWS ec
• ologies)
  API-based integration and scalable microservice
• ficationsExperience building AI copilots or conversational assistants
• ity with:
  
  Salesforce Data Cloud /
• Data 360
  
  Digital marketing
• platformsExperie
  nce with LLMOps / MLOps f
• rameworksKnow
  ledge of patient analytics and real-world data
• oft Skills Strong executive communicat
• ion skills
  
  Ability to influence cross-functional st
• akeholders
  
  Experience leading architecture reviews and governa
• nce forums
  
  Outcome-driven mindset focused on busin

• eliverablesAI/GenAI architecture
• I solutions
  
  Commercial AI use c