Data Architecture (Agentic AI)

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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 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 Data Architect (Agentic AI) is responsible for designing and evolving Takedas next-generation enterprise data and AI architecture leveraging the Databricks Data Intelligence Platform AWS and Agentic AI technologies. This role will define scalable architecture patterns AI-ready data platforms and intelligent automation frameworks that enable trusted governed and autonomous AI solutions across the enterprise.

Working closely with Enterprise Architecture Data Engineering AI Engineering and business stakeholders you will establish modern Lakehouse architectures that power Data Products Generative AI Agentic AI analytics and enterprise decision intelligence.

Key Responsibilities:

Databricks & Data Platform Architecture

• Lead the architecture and evolution of Takedas enterprise data platform using the Databricks Data Intelligence Platform.
• Design scalable Lakehouse architectures supporting structured semi-structured and unstructured data.
• Establish enterprise architecture standards leveraging Unity Catalog Lakeflow Mosaic AI Delta Sharing and Data Intelligence capabilities.
• Define reusable patterns for Data Products Data Mesh governance metadata management and AI-ready data assets.
• Drive platform modernization to enable real-time analytics AI and self-service data consumption.

Agentic AI Architecture

• Architect enterprise Agentic AI solutions that enable autonomous agents AI copilots and intelligent workflow automation.
• Design reusable frameworks for multi-agent orchestration Retrieval-Augmented Generation (RAG) enterprise knowledge systems and AI-assisted decision intelligence.
• Define architecture patterns for reasoning planning memory tool integration and human-in-the-loop workflows.
• Enable secure integration of AI agents with enterprise applications APIs and data platforms.

Cloud Architecture (AWS)

• Design cloud-native architectures on AWS that provide scalable secure resilient and cost-effective foundations for enterprise data and AI workloads.
• Define architectural standards for data integration storage compute security networking and observability aligned with enterprise cloud best practices.
• Partner with cloud engineering teams to optimize platform scalability performance governance and operational excellence.

Enterprise AI Enablement

• Design enterprise architectures supporting LLMs vector search semantic retrieval knowledge graphs and AI-powered applications.
• Develop reusable architecture blueprints and accelerators that simplify adoption of Generative AI and Agentic AI across business domains.
• Ensure AI solutions are scalable governed observable and aligned with enterprise architecture standards.

Governance & Technology Leadership

• Define enterprise standards for Data Governance AI Governance Responsible AI security privacy and compliance.
• Lead architecture reviews technology evaluations and adoption of emerging Databricks AWS and Agentic AI capabilities.
• Mentor engineering teams and promote reusable architecture patterns best practices and technical standards.

Required Qualifications

Experience

• 8years to 12 years of experience in Data Architecture Solution Architecture or Enterprise Data Engineering.
• Deep expertise with the Databricks Data Intelligence Platform and modern Lakehouse architecture.
• Strong experience architecting enterprise cloud solutions on AWS.
• Experience designing and implementing Generative AI Agentic AI and Retrieval-Augmented Generation (RAG) solutions.
• Proven experience delivering enterprise-scale data and AI platforms from architecture through production deployment.

Technical Skills:

Databricks

• Databricks Data Intelligence Platform
• Lakehouse Architecture
• Unity Catalog
• Lakeflow
• Mosaic AI
• Delta Sharing
• Data Products

AWS

• Cloud Architecture
• Cloud-Native Data Platforms
• Security & Identity
• Infrastructure as Code
• Observability
• Cost Optimization

Agentic AI & Generative AI

• Large Language Models (LLMs)
• Agentic AI
• Multi-Agent Systems
• Retrieval-Augmented Generation (RAG)
• AI Copilots
• AI Orchestration
• Prompt Engineering
• Vector Search
• Knowledge Graphs
• LLMOps

Enterprise Architecture

• Enterprise Data Architecture
• Data Mesh
• Data Governance
• Metadata Management
• Solution Architecture
• API & Event-Driven Integration
• Responsible AI
• AI Governance

Stakeholder Engagement

• Act as the enterprise champion for Agentic AI adoption.
• Collaborate with:
  • Enterprise Architecture
  • AI & Data Team
  • 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
• Minimum 8 years of total experience and 35 years of relevant experience 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.

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