Experience

- 812 years of experience in software engineering and solution development.
- Proven experience leading technical teams.
- Experience managing complex project delivery.
- Strong exposure to AI/ML or Intelligent Automation technologies.
- Experience with Generative AI is preferred.
- Experience in enterprise environments and large-scale digital transformation initiatives.

Required Skills

Technical Skills

- Solid software engineering and solution architecture background.
- Experience with modern software development methodologies.
- Cloud platform experience (Azure preferred).
- Knowledge of Agentic AI.
- Knowledge of Automation and Intelligent Workflow Orchestration.
- Strong understanding of enterprise architecture.
- Experience designing scalable AI solutions.
- Strong software development lifecycle (SDLC) knowledge.

Business & Leadership Skills

- Ability to translate business requirements into technical solutions.
- Strong stakeholder management skills.
- Excellent project management capabilities.
- Program management experience.
- Experience defining engineering standards and governance.
- Strong problem-solving and analytical skills.

- Other Requirements
- Excellent communication skills.
- Strong leadership and people management capabilities.
- Fluent English communication.
- Strategic thinking ability.
- Structured and execution-oriented mindset.
- Ability to collaborate with global teams.

Scope of the Role





- Lead the Global Business Services (GBS) AI Factory.
- Establish and scale AI Factory capabilities.
- Drive automation and intelligent process transformation.
- Support GBS operations across multiple global regions.

- Collaborate with

- Finance Leadership

- Process Owners

- IT Teams

- Data Teams

- Global AI Teams

- Digital Strategy Teams
- Lead AI initiative prioritization and delivery planning.
- Manage the AI delivery pipeline.
- Ensure quality, scalability, and governance of AI solutions.
- Drive automation coverage and process improvements.
- Improve AI capability maturity across GBS.
- Lead and grow an AI Factory team of approximately 6–10 FTEs.
- Influence multiple global business and technology stakeholders.

Key Success Measures

- Successful delivery of AI initiatives.
- Adoption of AI solutions.
- Return on Investment (ROI).
- Automation coverage.
- Process efficiency improvements.
- Quality and scalability of AI implementations.
- AI delivery success rate.
- Growth and maturity of AI capabilities within GBS.

Organization Structure Head of Product Stream – Enterprise Functions

- GBS AI Factory Lead

- GBS Systems Integration Engineer
- GBS Agentic AI Solution Architect

- GBS Agentic AI Engineer

- GBS Agentic AI Engineer

- GBS Systems Integration Engineer
- O2C & Automation Manager

📌 GBS AI Factory LEAD (Bengaluru)
🏢 Ekloud Data Labs
📍 Bengaluru