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Lead - Applied AI

Job in 560001, Vasanthanagar, Karnataka, India
Listing for: Indegene
Full Time position
Listed on 2026-09-28
Job specializations:
  • Business
    Change Management, AI Business & Operations
  • IT/Tech
    Change Management, AI Business & Operations, IT Business Analyst, IT Consultant
Job Description & How to Apply Below
Location: Vasanthanagar

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  Looking to jump-start your career?

We understand how important the first few years of your career are, which create the foundation of your entire professional journey. 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.

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.

Location:

Bangalore (Preferred)

Role Overview :

Indegene is seeking a highly motivated and business-oriented Applied AI Consultant to drive AI-led transformation initiatives across service lines within the Enterprise Medical Services ecosystem.
This role sits at the intersection of business consulting, workflow transformation, Generative AI adoption, process automation, knowledge management, and value realization. The successful candidate will partner with service line leaders, subject matter experts, AI architects, and transformation teams to identify high-value opportunities, redesign workflows, implement AI-enabled solutions, and deliver measurable business outcomes.

The ideal candidate combines consulting-style problem solving with strong execution capabilities and possesses a deep understanding of business operations, process optimization, and AI-powered transformation. Experience in Life Sciences and healthcare-related service lines will be a strong advantage.

Responsibilities

AI Opportunity Identification & Transformation Strategy

• Partner with business leaders and operational SMEs to assess existing workflows, identify process inefficiencies, and uncover AI-driven transformation opportunities.

• Analyze workflow handoffs, effort drivers, rework cycles, operational bottlenecks, and value leakage points to identify areas for automation and optimization.

• Evaluate opportunities involving Generative AI, AI Agents, Copilots, Workflow Automation, Knowledge Graphs, and Intelligent Process Automation.

• Prioritize use cases based on business value, implementation feasibility, adoption readiness, operational complexity, and measurable impact potential.

• Translate strategic business priorities into actionable transformation roadmaps, implementation backlogs, and AI adoption plans.

AI Transformation Delivery & Implementation

• Lead assigned AI transformation initiatives from discovery and assessment through pilot execution, enterprise adoption, and value realization.

• Create structured implementation plans covering workflow redesign, technology enablement, governance, stakeholder engagement, risk management, testing, and adoption strategies.

• Collaborate with AI Architects, Product Teams, and Engineering teams to define solution approaches, technical feasibility, integration requirements, prompt strategies, and platform dependencies.

• Partner with business SMEs to validate process workflows, quality requirements, exception handling scenarios, and…
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