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 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

OBJECTIVES / PURPOSE

The AI Solutions Engineer will accelerate Takeda's 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.

We're looking for an AI Solutions Engineer who thinks in AI-native patterns by default: someone who doesn't just bolt a model onto an existing process but reimagines the workflow around what modern AI systems make possible. You'll bring a blend of data science depth and software engineering discipline, applying modern SDLC practices to a domain that's 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

• Bachelor's 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 Takeda's 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. 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.

#Li-Hybrid

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time