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Principal AI Engineer, Director

NatWest Group
Gurugram, IND
Full-time
Senior
Onsite
Discovered 1 weeks ago
AgileDevOps
Free

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What you’ll do

As a Principal AI Engineer, you’ll create customer value through innovative engineering solutions that are customer-focused, secure, scalable, high-performing and resilient.

You’ll lead complex and strategically important initiatives, coordinating multiple teams to deliver meaningful business outcomes. We’ll look to you to align technical delivery with strategic objectives and help deliver against key performance measures published to our investors.

You’ll also be:

Defining and implementing AI engineering strategy, architecture, design patterns and guardrails, making sure solutions are secure, resilient, observable and production-ready

Leading the development and scaling of AI-powered tooling and agent capabilities across the software delivery lifecycle

Enabling engineering teams to accelerate delivery, improve quality and augment human expertise through effective collaboration with AI agents

Providing technical leadership through design, development and operation of the Lending AI Agent Platform and its core services

Developing reusable AI engineering capabilities, including evaluation and benchmarking frameworks, testing approaches and model lifecycle tooling

Driving the adoption of context engineering patterns, governance controls and deployment automation to support trusted AI solutions at scale

The skills you'll need

  • You’ll bring significant experience in software engineering, software or database design and architecture, alongside a strong track record of developing software within Agile and DevOps environments.
  • Along with an expert understanding of emerging technologies, engineering practices and industry trends, you’ll have substantial experience implementing software engineering best practice across scalability, automation, optimisation, availability and performance.
  • You’ll also need:
  • A strong background in leading software development teams in a matrix structure, introducing and executing technical strategies
  • Significant experience of test-driven development and using automated testing frameworks, mocking and stubbing and unit testing tools
  • The ability to rapidly understand product and business requirements and translate them into effective technical solutions
  • Experience in loop engineering for AI agents, including feedback loops, verification loops, retry strategies, progress checks, guardrails, telemetry and safe termination criteria
  • A proven track record of designing and implementing multi-agent workflows, using frontier LLMs and orchestration patterns to balance quality, latency and cost
  • Hours
  • Job Posting Closing Date:

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