Engineering Manager

Barclays

Bengaluru, India
Strong understanding of language models llms
Proficiency in python for agentic and genai frameworks
Hands-on experience with aws ml ecosystem
As an Engineering Manager at Barclays, you will drive adoption of Large Language Models and agentic flows focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions

Job Summary

  • As an Engineering Manager at Barclays, you will drive adoption of Large Language Models and agentic flows focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions.
  • You will lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
  • The role requires collaboration with business partners and stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.

Matching Summary

As an Engineering Manager at Barclays, you will drive adoption of Large Language Models and agentic flows focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions.

Skills & Requirements

Must-have

  • Strong understanding of Language Models LLMs
  • Proficiency in Python for Agentic and GenAI frameworks
  • Hands-on experience with AWS ML ecosystem
  • Experience with large-scale AI/ML systems
  • Deep understanding of Prompt engineering
  • Experience with SQL, NoSQL and vector databases
  • Strong communication and stakeholder management

Nice-to-have

  • Professional experience in financial services
  • Knowledge of REST APIs and CI/CD tools
  • Ability to lead and mentor technical teams
  • Motivated quick learner
  • Strong collaboration and influencing skills
  • Demonstrated leadership behaviours

Key Requirements

  • Bachelor’s degree in computer science or related field
  • Experience in model risk management and guardrails development
  • Experience with cloud platforms including AWS, GCP or Azure
  • Ability to manage budgets, resources, and policies
  • Experience conducting performance reviews and mentoring
  • Strong strategic thinking and business acumen

Work Rights

Not specified

Tailored Resume

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