Manager – GenAI & Agentic AI Engineering

Introduction

Director, Global Source‑to‑Pay Data & Transformation

Your Role And Responsibilities

Agentic AI engineering

• Deliver agentic AI features on IBM Watson Orchestrate
  

Data engineering & platform integration

• Oversee data engineers responsible for:
• Monitoring and maintaining existing data pipelines for reliability and compliance.
• Supporting the development of new pipelines for AI initiatives and broader S2P data needs.
• Enhancing and optimising pipelines for performance, scalability, and governance.
• Ensure alignment with the Enterprise Data Platform governance and strategy
  

People Management

• Full responsibility for people management of the Kochi team (6 members initially).
• Hiring & resource planning: Build the team, plan capacity, and ensure optimal allocation of skills to deliver roadmap priorities.
• Time management: Oversee workload distribution and ensure timely delivery of commitments.
• Performance management: Conduct checkpoints, provide continuous feedback, and drive development plans.
• Promotion & salary planning: Partner with HR to manage career progression and compensation cycles.
• Succession planning: Cooperate with leadership to identify and prepare future leaders.
• Talent & pipeline management: Build a strong pipeline of AI and data engineering talent to support future growth.
  

Value & stakeholder management

• Translate business pains into scoped AI use cases
• Communicate progress and results to executives and cross‑functional partners.
  

Required Technical And Professional Expertise

• 5+ years in software/data engineering, including 2+ years in people management.
• Proven experience delivering GenAI/agentic AI solutions to production, ideally on IBM Watson Orchestrate or similar orchestration platforms.
• Strong background in data engineering (Python, SQL, pipelines, observability).
• Strong background in managing enterprise platforms and tools, including system transformation, platform implementation, and operational support in complex environments.
• Track record of aligning engineering work to measurable business outcomes.
• Demonstrated ability to work in matrixed environments and collaborate across global teams (CIO, S2P Data & Systems).