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) 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 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 Advanced Analytics & AI Use Cases 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) Governance, Security, and Compliance Ensure compliance with: HIPAA and global data privacy regulations Implement Responsible AI practices Define data security, lineage, and access governance frameworks Stakeholder Engagement 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 Required Qualifications Experience 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 Technical Skills 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 scalable microservices design Preferred Qualifications Experience building AI copilots or conversational assistants at scale Familiarity with: Salesforce Data Cloud / Data 360 Digital marketing platforms Experience with LLMOps / MLOps frameworks Knowledge of patient analytics and real-world data (RWD/RWE) Leadership & Soft Skills Ability to influence cross-functional stakeholders Experience leading architecture reviews and governance forums Outcome-driven mindset focused on business impact Production-grade AI solutions Commercial AI use case roadmap

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Compensation Base Salary Range: $80/hour – $115/hour The compensation range reflects the full span of pay across all of our U.S. geographic pay areas and experience levels. Your actual base salary offer will be determined based on multiple factors, including: Geographic Pay Area (US 1 through US 5, reflecting cost-of-labor differences) Experience & Qualifications relevant to the role Internal Equity alignment with employees in similar roles and levels What This Means for You The minimum of the posted range represents the starting point for candidates in the lowest cost-of-labor pay areas (US 5). The maximum of the posted range represents the upper threshold for candidates in the highest cost-of-labor pay areas (US 1 / US 2). Candidates are aligned to pay areas based on their primary work location. For Current Employees Posted salary ranges reflect the full compensation band across all U.S. pay areas and experience levels. Your individual compensation is based on your specific pay area, hire date, performance trajectory, and internal equity. Differences between your current salary and the posted range are not indicative of a pay discrepancy. Please contact HR with any questions. Benefits Overview This role is eligible for a comprehensive benefits package, including medical, dental, and vision coverage; life and disability insurance; a 401(k)-retirement plan; seven (7) sick leave days, vacation paid time off, and paid holidays; all in accordance with Company plans. Specific benefits are governed by applicable plan documents. Indegene is committed to pay equity and transparency. We regularly benchmark our compensation against market data to ensure competitive and fair pay practices across all locations. #J-18808-Ljbffr Indegene