AI and Data DevOps Lead

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Job Description

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 Indias epicenter of Innovation has been selected to be home to Takedas recently launched Innovation Capability Center. We invite you to join our digital transformation 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 Takedas 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 capabilitiesspanning 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

• Bachelors in Computer Science AI/ML Data Science or related field
• Masters preferred

Experience

• 57 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 Youll 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. Were not just transforming our company; were 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

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