AI and Data DevOps Lead

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The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.  

At Takeda’s ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

The Opportunity

The Agentic AI Product Lead owns the strategy, roadmap, and enterprise adoption of agentic AI capabilities—spanning autonomous agents, multi-agent orchestration, LLM-powered workflows, and decision intelligence systems. This role focuses on building scalable, intelligent, and goal-driven AI systems that can reason, act, and continuously learn across enterprise use cases.

You will drive the transformation from traditional AI solutions to agent-based architectures, enabling automation, insight generation, and end-to-end workflow execution across domains such as Medical, R&D, Commercial, and Enterprise Operations.

Key Responsibilities

Product Vision & Strategy

• Define and lead the enterprise Agentic AI strategy, covering autonomous agents, multi-agent systems, tool-augmented LLMs, and workflow orchestration.
• Build and execute a roadmap aligned with enterprise priorities, focusing on AI-driven automation, decision intelligence, and productivity gains.
• Evaluate emerging paradigms such as AutoGPT, multi-agent collaboration frameworks, and AI copilots.

Agentic AI Platform & Enablement

• Design and deliver reusable agentic capabilities:
  • Agent frameworks (planner-executor models)
  • Tool integrations (APIs, databases, enterprise systems)
  • Memory systems (vector stores, contextual memory)
  • Orchestration engines (multi-agent coordination)
• Enable development of domain-specific agents such as:
  • SDLC Agents (code generation, testing, deployment)
  • Analyst Agents (insight generation, data exploration)
  • Knowledge Agents (document summarization, search, Q&A)
• Ensure scalability, observability, and performance of agent workflows.

LLM, RAG & Agent Integration

• Lead development of agentic RAG systems that combine retrieval, reasoning, and action.
• Drive:
  • Prompt engineering and chaining strategies
  • Tool usage and function calling
  • Context management and memory optimization
• Ensure high-quality outputs through evaluation frameworks and feedback loops.

Governance, Compliance & Responsible AI

• Define lifecycle management for agentic systems:
  Design → Build → Evaluate → Deploy → Monitor → Improve
• Establish governance for:
  • Autonomous decision-making boundaries
  • Hallucination mitigation
  • Human-in-the-loop controls
• Ensure compliance with privacy, security, and regulatory standards.

Cross-Domain Enablement

• Drive adoption of agentic AI across enterprise domains:
  • Medical insights & document intelligence
  • R&D automation & knowledge discovery
  • Commercial analytics & recommendations
• Provide reusable patterns to accelerate agent onboarding and deployment.
• Integrate with enterprise platforms such as:
  • Data platforms (Databricks, lakehouse)
  • Knowledge graphs and metadata systems
  • Analytics and reporting ecosystems

Delivery & Value Realization

• Translate business problems into agent-driven solutions and workflows.
• Prioritize initiatives based on:
  • Automation potential
  • Business impact
  • Feasibility and risk
• Define and track KPIs such as:
  • Task automation rate
  • Insight generation speed
  • Accuracy and reliability
  • Reduction in manual effort

Stakeholder Engagement

• Act as the enterprise champion for Agentic AI adoption.
• Collaborate with:
  • Enterprise Architecture
  • Data Science & Engineering
  • Business and domain teams
• Lead change management, enablement, and training for agentic systems.

Qualifications

Education

• Bachelor’s in Computer Science, AI/ML, Data Science, or related field
• Master’s preferred

Experience

• 5–7+ years in AI/ML product management, platform leadership, or advanced analytics
• Proven experience with:
  • LLMs, RAG, and agentic frameworks
  • Multi-agent systems and workflow automation
  • Enterprise-scale AI product delivery
• Experience in building end-to-end AI-driven products (from concept to production)

Skills & Competencies

• Strong product leadership: strategy, roadmap, prioritization, OKRs
• Deep understanding of:
  • LLM architectures, embeddings, and retrieval
  • Agent design patterns (planner-executor, tool use, memory)
  • LLMOps / MLOps and CI/CD for AI systems
• Experience with cloud platforms (AWS/Azure) and AI ecosystems
• Strong understanding of Responsible AI and governance
• Ability to translate AI capabilities into real business outcomes

What You’ll Drive (Agentic Focus)

• Enterprise-wide AI agents ecosystem
• Autonomous workflows replacing manual processes
• Intelligent copilots for developers, analysts, and business users
• Continuous learning systems powered by enterprise data

Impact

This role will be central to transitioning the organization from AI-assisted workflows to AI-driven autonomous systems, unlocking significant gains in productivity, insight generation, and decision-making.

WHAT TAKEDA CAN OFFER YOU:

Takeda is a globally recognized Top Employer, investing heavily in people, learning, and innovation.  Opportunity to lead GenAI and agentic architecture initiatives that move beyond experimentation into real business impact.  Access to advanced platforms, continuous upskilling, and a collaborative ecosystem at the ICC in Bengaluru.

BENEFITS:

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms 
• Diversity, Equity, and Inclusion Programs
• No Meeting Days
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

#Li-Hybrid