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Principal AI Engineer, Director

NatWest Group
Bengaluru, IND
Full-time
Director
Onsite
Discovered 1 weeks ago
AI engineering strategy and architectureSoftware engineeringSoftware and database designSoftware architectureAgile and DevOpsAI agents and agent capabilities
Free

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AI engineering strategy and architectureSoftware engineeringSoftware and database design
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Role overview

Design and engineer innovative AI-powered solutions with customer or user experience at their core.

Lead complex, strategically important initiatives and coordinate multiple teams to deliver business outcomes.

The role is offered at director level and combines technical leadership with continued engineering expertise development.

AI engineering responsibilities

  • Define AI engineering strategy, architecture, design patterns, and guardrails for secure, resilient, observable, production-ready solutions.
  • Lead AI-powered tooling and agent capabilities across the software delivery lifecycle.
  • Provide technical leadership for the Lending AI Agent Platform and its core services.
  • Develop evaluation, benchmarking, testing, and model lifecycle capabilities.
  • Drive context engineering, governance controls, and deployment automation for trusted AI solutions.

Required experience

  • Significant software engineering, software or database design, and architecture experience.
  • Strong experience developing software in Agile and DevOps environments.
  • Experience leading software development teams in a matrix structure and executing technical strategies.
  • Significant experience with test-driven development and automated testing frameworks.
  • Experience engineering AI-agent feedback loops, verification loops, guardrails, telemetry, and safe termination criteria.
  • Proven experience designing and implementing multi-agent workflows using frontier LLMs and orchestration patterns.

Technical capabilities

  • Expert understanding of emerging technologies, engineering practices, and industry trends.
  • Best-practice experience across scalability, automation, optimization, availability, and performance.
  • Ability to translate product and business requirements into effective technical solutions.

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