Data Architecture (Agentic AI)
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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 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 Data Architect (Agentic AI) is responsible for designing and evolving Takeda's 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 Takeda's 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
- Bachelor’s in Computer Science, AI/ML, Data Science, or related field
- Master’s preferred
- Minimum 8 years of total experience and 3-5 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 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.
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