Senior Manager - AI Architect

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’s 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

Indegene is scouting for leaders who can help us write the next chapter of our growth story. We are at the exciting intersection of healthcare and technology and are rapidly growing in a sustainable fashion.

We are enabling healthcare organizations to be the future ready for which we are building new capabilities every day and need employees to build things from scratch for us and take ownership. You will be leading teams and delivering outcomes while working with a purpose-driven organization. We are a passionate team that likes to make a difference with our work in our customers’ lives. We ensure a differentiated career for our employees.

Role: Senior Manager – AI Architect

Location: West Coast - US

Job Description: We are seeking a highly experienced AI Architect with strong expertise in pharmaceutical and life sciences domains to lead the design and delivery of enterprise-scale AI, ML, and GenAI solutions.

This role will focus on defining AI architecture, driving data strategy, and enabling AI-led transformation across commercial, medical, clinical, and real-world evidence functions. The ideal candidate will combine deep technical expertise, pharma domain knowledge, and strong stakeholder advisory capabilities.

We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Key Responsibilities:

1. AI Architecture & Strategy

• Define and lead end-to-end AI/ML and GenAI architecture across data ingestion, processing, modeling, and deployment

• Align AI strategy with enterprise data platforms and digital transformation goals

• Design scalable solutions for:

• Commercial & omnichannel analytics

• Medical affairs and insights

• Evaluate and recommend AI tools, platforms, and architectural frameworks

2.AI/ML & GenAI Solution Enablement

• Architect and guide development of:

• Predictive analytics models (forecasting, segmentation, targeting)

• NLP and text analytics (medical content, literature mining)

• GenAI use cases (copilots, automation, knowledge management)

• Define GenAI guardrails, evaluation frameworks, and governance models

• Ensure solutions are production-ready, scalable, and business-aligned

3. Data Strategy, Governance & Compliance

• Define and implement data strategy covering data lakes, warehouses, and AI-ready platforms

• Establish data governance frameworks (quality, lineage, metadata, stewardship)

• Ensure compliance with pharma regulations and data privacy standards (GxP, HIPAA, GDPR)

• Drive responsible AI and secure data access models [Solution A...or Manager | Word]

4. Stakeholder & Client Engagement

• Act as a trusted advisor to senior business, analytics, and IT stakeholders

• Lead:

• Solutioning discussions

• Architecture workshops

• RFPs, proposals, and POVs

• Translate AI/technical concepts into business value and executive narratives

5. Leadership & Delivery Excellence

• Mentor and guide data scientists, ML engineers, and analytics teams

• Drive best practices across:

• AI solution design

• Governance and compliance

• Delivery excellence

• Lead cross-functional and globally distributed teams

6. Innovation & Capability Building

• Drive adoption of GenAI and advanced analytics capabilities

• Build reusable AI accelerators, frameworks, and playbooks

• Support GTM initiatives, innovation programs, and capability development

Required Qualifications

Experience

• 15+ years in AI/ML, Data Architecture, or Advanced Analytics

• Strong experience in Pharmaceutical / Life Sciences domain (mandatory)

• Proven expertise in enterprise-level AI solution design and delivery.

Technical Skills

• Expertise in:

o Python, R, SQL

o Machine Learning & Deep Learning frameworks

• Experience with:

o Cloud platforms (AWS, Azure, GCP)

o Data platforms (data lakes, warehouses)

o MLOps and AI deployment frameworks

• Strong exposure to GenAI / LLM ecosystems and AI governance

Domain Expertise

• Strong understanding of pharma data and analytics across:

o Commercial & Omnichannel

o Medical Affairs

Leadership & Communication

• Strong executive communication and stakeholder management skills

• Ability to translate complex AI solutions into business outcomes

• Experience working with global cross-functional teams

Preferred Qualifications

• Experience with AI governance and responsible AI frameworks

• Exposure to pharma digital transformation and GTM strategy

• Strong balance of strategic thinking and hands-on architecture capability

Base Salary Range: $90 – $100/Hour

The compensation range displayed 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

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.