Ai Engineering Lead-vp

Barclays

Pune, India
Ml ops platforms & genai applications
Lang graph/crew ai
Stateful, multi-step reasoning loops
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives

Job Summary

  • To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
  • Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
  • Embark your transformative journey as an AI Engineering Lead-VP, we are seeking a highly skilled AI Engineering Lead with deep expertise in building ML Ops platforms & GenAI applications using frameworks like Lang Graph/Crew AI to design stateful, multi-step reasoning loops and autonomous multi-agent swarms.

Matching Summary

To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.

Skills & Requirements

Must-have

  • ML Ops platforms & GenAI applications
  • Lang Graph/Crew AI
  • stateful, multi-step reasoning loops
  • autonomous multi-agent swarms
  • AWS Tools like Bedrock, SageMaker
  • Observability, Evaluation & LLM Ops tools
  • Model Context Protocol (MCP)

Nice-to-have

  • pricing assistant
  • UKC strategic insights
  • agentic pattern implementations
  • risk management and technical governance

Key Requirements

  • Experience in AWS Tools
  • Experience with Observability, Evaluation & LLM Ops tools
  • Experience with Model Context Protocol (MCP)
  • Experience in using natural language intent
  • Excellent exposure to Machine learning projects
  • Strong AWS Devops & Sysops capabilities

Work Rights

Not specified

Tailored Resume

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