Manager- Genai & Agentic Ai Engineering

5 - 10 years

14 - 18 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


 Agentic AI engineering 
  • Deliver agentic AI features on IBM Watson Orchestrate

  •  Data engineering & platform integration 
  • Overseedata engineers responsible for:
  • Monitoring and maintainingexisting data pipelinesfor reliability and compliance.
  • Supporting thedevelopment of new pipelinesfor 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 forpeople managementof the Kochi team (6 members initially).
  • Hiring & resource planningBuild the team, plan capacity, and ensure optimal allocation of skills to deliver roadmap priorities.
  • Time managementOversee workload distribution and ensure timely delivery of commitments.
  • Performance managementConduct checkpoints, provide continuous feedback, and drive development plans.
  • Promotion & salary planningPartner with HR to manage career progression and compensation cycles.
  • Succession planningCooperate with leadership to identify and prepare future leaders.
  • Talent & pipeline managementBuild a strong pipeline of AI and data engineering talent to support future growth.

  •   
     
      Value & stakeholder management 
    Translate business pains into scoped AI use casesCommunicate progress and results to executives and cross-functional partners. Required education Bachelor's Degree 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).
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