AI Architect – Life Sciences; Commercial Analytics & GenAI

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out

What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?

We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you.

We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you.

If this excites you, then apply below.

AI Architect – Life Sciences (Commercial Analytics & GenAI)

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
.

• 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
• Automated reporting and summarization
• Next-best-action and recommendation engines
• Architect end-to-end data pipelines integrating:
• Patient and claims data (open & closed claims)
• Digital marketing and engagement platforms
• Enable data harmonization, semantic modeling, and AI-ready datasets
• Leverage Databricks (Delta Lake, Spark) and AWS-native services

• Drive high-value use cases such as:
• HCP targeting, segmentation, and profiling
• 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)

• Ensure compliance with:
• HIPAA and global data privacy regulations
• Implement Responsible AI practices
• Define data security, lineage, and access governance frameworks

• Collaborate with:
• Commercial stakeholders (Sales, Marketing, Market Access)
• Data engineering and analytics teams
• Enterprise architecture teams
• Translate business needs into AI solution roadmaps and architectures
• Support solutioning, proposals, and client engagements

• 10–15+ years in data, analytics, or AI architecture
• 5+ years in Life Sciences Commercial domain
• Hands-on experience with:
• IQVIA, Symphony, Claims and Patient datasets
• Veeva CRM and commercial data ecosystems

• AI/GenAI Platforms:
• AWS Bedrock (mandatory)
• Programming:
• Python, PySpark, SQL
• LLMs, RAG architectures, embeddings, vector search
• NLP and conversational AI systems
• Cloud:
• Strong expertise in AWS ecosystem
• API-based integration and…