Manager, AI Enablement

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Job Description

Role: - Manager AI Enablement

Location: - Bengaluru

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

OBJECTIVES / PURPOSE

The AI Solutions Engineer will accelerate Takedas AI-driven commercial transformation by identifying designing and delivering AI-native solutions that solve high-priority business problems and reimagine workflows. This role combines expertise in AI software engineering and product development to rapidly move from concept to production enabling scalable adoption of AI across commercial functions.

Were looking for an AI Solutions Engineer who thinks in AI-native patterns by default: someone who doesnt just bolt a model onto an existing process but reimagines the workflow around what modern AI systems make possible. Youll bring a blend of data science depth and software engineering discipline applying modern SDLC practices to a domain thats evolving fast.

ACCOUNTABILITIES

AI Solution Design and Engineering

• Design develop and deploy AI-powered applications copilots agents and workflow automation solutions that address prioritized commercial business challenges.
• Translate business requirements and user workflows into technical specifications solution architectures and production-ready implementations.
• Develop and integrate Generative AI Agentic AI Retrieval-Augmented Generation (RAG) machine learning and automation capabilities into scalable enterprise solutions.
• Rapidly prototype evaluate and iterate on proof-of-concepts (POCs) to validate business value and technical feasibility before production deployment.
• Build reusable components APIs services and frameworks that accelerate AI solution development across commercial use cases.
  

AI-Driven Workflow Transformation

• Apply AI-native thinking to identify opportunities where AI can simplify augment or fundamentally redesign commercial workflows and decision-making processes.
• Partner with business stakeholders to understand processes pain points and success criteria translating them into scalable AI-enabled solutions.
• Evaluate emerging AI technologies tools and frameworks recommending appropriate approaches based on business needs and technical constraints.
  

Software Engineering and Delivery Excellence

• Develop production-grade applications following modern software engineering principles including test-driven development code reviews CI/CD observability and secure coding practices.
• Utilize GitHub-based development workflows version control and collaborative engineering practices to support scalable solution delivery.
• Contribute to specification development and spec-driven implementation approaches ensuring alignment between business requirements and delivered solutions.
• Support deployment monitoring performance optimization and ongoing enhancement of AI applications within enterprise environments.
  

KNOWLEDGE SKILLS & EXPERIENCE Required

• Bachelors required in Computer Science Engineering Data Science or a related field.
• 7 years of professional experience in data science software engineering or AI/ML solutions role
• 2 years of hands-on experience building production-grade applications prototypes and POCs
• Strong foundation in both data science and computer science comfortable moving between model development and application engineering
• Hands on development experience on cloud platforms (AWS Azure or GCP)
• Demonstrated experience with modern software development lifecycle (SDLC Agile) practices: version control (Git/GitHub) code review testing CI/CD and iterative delivery
• Experience with spec development and spec-driven development practices
• Hands-on experience building with LLMs generative AI or agentic AI systems (APIs frameworks orchestration prompt/context engineering)
• Strong written and verbal communication skills including the ability to translate ambiguous business problems into technical specs and vice versa
• Proven ability to manage multiple projects simultaneously in a dynamic priority-shifting environment
• Comfort operating with autonomy and an AI-native mindset designing solutions around what AI enables not just automating existing steps
  

Preferred

• Experience in pharma life sciences or another regulated commercial environment
• Full-stack development experience covering UI/UX data engineering APIs and integrating AI solutions
• Experience in MLOps/LLMOps tooling preferred
• Background in commercial analytics market insights or related business domains
• Experience mentoring or collaborating cross-functionally with both technical and business teams
  

Skills & Competencies:

• Stakeholder Partnership Builds trusted relationships with US and global CA&I commercial omnichannel DD&T and operations stakeholders.
• Operational Excellence Establishes scalable intake delivery review documentation and monitoring routines across teams.
• Data Storytelling and Communication Communicate technical concepts solution designs trade-offs and actionable recommendations to both technical and non-technical audiences.
• Collaboration Collaborate effectively with commercial stakeholders data scientists architects and engineers to deliver high-impact AI solutions.

• Managing multiple priorities Manage multiple concurrent initiatives while maintaining high standards of quality execution and stakeholder engagement.

TAKEDA LEADERSHIP BEHAVIORS

In alignment with Takedas Values-Based Culture this role requires demonstration of the following leadership behaviors:

• Act with Integrity Deliver accurate transparent work and take full responsibility for quality.
• Collaborate Cross-Functionally Contribute positively to GCC-US team workflows and cross-functional collaboration.
• Drive Accountability Take ownership of all assigned tasks and deliver on commitments.
• Embrace Learning Continuously build analytical and domain capabilities through feedback and self-driven development.

Other Benefits & Shift Timings:
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:

• Second Shift Timing: 2:00 PM 11:00 PM IST.
• Competitive Salary Performance Annual Bonus
• Comprehensive Healthcare Insurance Plans for self spouse and children
• Group Term Life Insurance and Group Accident Insurance programs
• Employee Assistance Program
• Broad Variety of learning platforms
• Diversity Equity and Inclusion Programs
• 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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