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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
As a Senior AI Engineer, you will provide deep hands-on technical ownership in designing, building, and operationalizing scalable enterprise-grade Generative AI and Agentic AI solutions that deliver trusted, actionable intelligence across the business. You will help establish strong engineering standards for AI development, including structured experimentation, evaluation rigor, secure deployment, and reliable production operations, ensuring AI capabilities are delivered responsibly and at enterprise quality.
You will lead the end-to-end lifecycle of AI implementation from problem framing and proof-of-concept through production deployment, monitoring, and continuous optimization embedding governance, observability, performance efficiency, and cost control into solution design. You will lead the end-to-end lifecycle of AI solutions from problem framing and proof-of-concept through production deployment, monitoring, and continuous optimization embedding governance, observability, performance efficiency, and cost control into solution design & implementation. This is a hands-on builder role requiring true ownership of AI-powered solutions across the product lifecycle. The ideal candidate is well-rounded and willing to contribute beyond model development, including data engineering, backend services, application logic, and user-facing components where needed to ensure reliable, scalable production outcomes.
You will collaborate closely with AI product lead, Solution & Design Leads, Delivery Leads, platform teams, and global PDT DD&T stakeholders across India, Europe, and the United States to accelerate modern AI adoption and enterprise-wide value realization.
This role reports to Delivery lead and is aligned with the Data & Analytics chapter within ICC.
Gen-AI Solutioning & Delivery
Design and implement end-to-end LLM-powered Generative AI and Agentic AI solutions, including RAG pipelines, agentic workflows, and multi-step reasoning systems.
Translate business problems into scalable AI architectures spanning data, retrieval, model orchestration, and application layers. Ensure clear alignment on success metrics & business value with Product leads
Hands-on leadership & contribution for end-to-end AI solution development spanning data pipelines, service-layer APIs, application integration, and UI enablement, in addition to model, prompt, and framework engineering, to deliver scalable production systems.
Define and maintain reference architectures for GenAI components—RAG pipelines, agentic systems, vector storage, and scalable inference endpoints
Review solution designs and technical approaches created by junior engineers, ensuring alignment to architectural best practices and enterprise engineering standards. Includes evaluating use of agent frameworks (LangGraph, CrewAI, Swarm), validating tooling abstractions, memory strategies, and multiagent collaboration patterns.
Deliver in a globally distributed ecosystem, need to collaborate across Business users, Product lead, Solution & Design leads, Enterprise Architecture teams, Platform teams & other engineering, dev teams
Retrieval, Context Engineering & Agentic Systems
Build and optimize retrieval pipelines using vector databases, hybrid search, reranking, grounding, and provenance tracking.
Model Development, Tuning & Optimization
Improve latency, scalability, and cost efficiency using batching, caching, distillation, or quantization techniques.
Infrastructure, Deployment & Observability
Collaborate with Infrastructure and Platform teams to enable scalable, secure, and cost-efficient cloud infrastructure supporting Generative AI and agentic workloads across development, testing, and production environments.
Implement monitoring for quality, hallucinations, drift, latency, and system reliability. Define rollback, governance, and lifecycle management processes for AI and agentic systems
Ensure strong GenAI observability across all solutions, including prompt tracing, metrics instrumentation, log reduction, quality monitoring, and operational telemetry.
Engineering ownership & excellence
Design, build, and maintain scalable data pipelines, backend services, and APIs that power AI-driven applications and production workflows.
Apply strong software engineering best practices across the product implementation lifecycle, including version control, CI/CD automation, testing strategies, code quality, and comprehensive documentation
Responsible AI, Security & Compliance
Adhere to privacy, security, and ethical AI standards across data, prompts, models, and outputs.
Implement guardrails, content filtering, access control, and human-in-the-loop review where required.
Educate stakeholders on AI capabilities, limitations, and best practices, enabling informed and ethical usage.
Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, modern AI orchestration frameworks such as Langchain, Langflow
Demonstrated experience delivering production-grade AI-powered applications end-to-end, contributions in aspects including data engineering, backend services, and application or UI components.
Deep understanding of NLP, transformers, embeddings, vector databases, and RAG architecture. Experience deploying scalable AI services on cloud infrastructure. Strong knowledge of monitoring, model lifecycle management, and evaluation frameworks.
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:
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Competitive Salary + Performance Annual Bonus
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Flexible work environment, including hybrid working
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Comprehensive Healthcare Insurance Plans for self, spouse, and children
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Group Term Life Insurance and Group Accident Insurance programs
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Employee Assistance Program
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Broad Variety of learning platforms
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Diversity, Equity, and Inclusion Programs
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Reimbursements – Home Internet & Mobile Phone
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Employee Referral Program
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Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
ABOUT ICC IN TAKEDA:
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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.
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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
IND - Bengaluru
Employee
Regular
Full time
