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At Indegene, we promise you a differentiated career experience.

You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry.

We are offering a global fast-track career where you can grow along with Indegene's high-speed growth.

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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.

Role : AI Architect.

Location : India.

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.

Key Responsibilities :

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 :

1. Commercial & omnichannel analytics.

2. Medical affairs and insights.

- Evaluate and recommend AI tools, platforms, and architectural frameworks.

AI/ML & GenAI Solution Enablement :

- Architect and guide development of :

1. Predictive analytics models (forecasting, segmentation, targeting).

2. NLP and text analytics (medical content, literature mining).

3. GenAI use cases (copilots, automation, knowledge management).

- Define GenAI guardrails, evaluation frameworks, and governance models.

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

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.

Stakeholder & Client Engagement :

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

- Lead :

1. Solutioning discussions.

2. Architecture workshops.

3. RFPs, proposals, and POVs.

- Translate AI/technical concepts into business value and executive narratives.

Leadership & Delivery Excellence :

- Mentor and guide data scientists, ML engineers, and analytics teams.

- Drive best practices across :

1. AI solution design.

2. Governance and compliance.

3. Delivery excellence.

- Lead cross-functional and globally distributed teams.

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 :

- 10+ 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 :

1. Python, R, SQL.

2. Machine Learning & Deep Learning frameworks.

- Experience with :

1. Cloud platforms (AWS, Azure, GCP).

2. Data platforms (data lakes, warehouses).

3. MLOps and AI deployment frameworks.

- Strong exposure to GenAI / LLM ecosystems and AI governance.

Domain Expertise :

- Strong understanding of pharma data and analytics across :

1. Commercial & Omnichannel.

2. 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.

- 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.