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Ai Ops Platform Engineer

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Barclays

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

Join us as an AI Ops Engineer, to build and run an enterprise AI Factory within our Card Merchant Services organisation, enabling AI‑driven change across the merchant payments lifecycle. This role focuses on acquiring, risk and fraud, and merchant servicing, delivering a secure, scalable, and well‑governed AI platform that operates effectively in a highly regulated payments environment. You will be accountable for the end‑to‑end operationalisation of AI, spanning model, prompt, and agent lifecycles; deployment and monitoring; guardrails; and cost optimisation, ensuring AI solutions are production‑ready, auditable, compliant, and scalable across merchant payment use cases. You will also be accountable for the end‑to‑end engineering of GenAI and ML platforms, embedding governance, observability and operational resilience by design, hile enabling teams to deploy and run AI solutions with clarity, assurance and accountability at scale.

Job Responsibility:

  • Build and run an enterprise AI Factory within our Card Merchant Services organisation, enabling AI‑driven change across the merchant payments lifecycle
  • Accountable for the end‑to‑end operationalisation of AI, spanning model, prompt, and agent lifecycles
  • deployment and monitoring
  • guardrails
  • and cost optimisation, ensuring AI solutions are production‑ready, auditable, compliant, and scalable across merchant payment use cases
  • Accountable for the end‑to‑end engineering of GenAI and ML platforms, embedding governance, observability and operational resilience by design, while enabling teams to deploy and run AI solutions with clarity, assurance and accountability at scale
  • Lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions
  • Oversee timelines, team allocation, risk management and task prioritization
  • Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement
  • Evaluation and enhancement of engineering processes, tools, and methodologies
  • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions
  • Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices

Requirements:

  • LLMOps / MLOps at production scale, operating the full Generative AI lifecycle including models, prompts and agents, CI/CD pipelines, structured evaluation, drift and hallucination monitoring, and controlled, auditable release processes suitable for banking environments
  • Cloud‑native AI platform engineering on AWS, with hands‑on delivery using services such as Amazon Bedrock for foundation models, agent orchestration patterns, Lambda and Step Functions, alongside demonstrated Python engineering capability and secure microservices and API design
  • AI governance, observability and cost optimisation, embedding governance by design through policy as code, alignment to model risk framework expectations, lifecycle traceability and audit‑ready evidence, supported by SRE‑grade monitoring and ongoing optimisation of token usage and compute cost across AI workloads

Nice to have:

  • Retrieval Augmented Generation (RAG) and vector database implementation, with practical experience using technologies such as OpenSearch, FAISS or similar to support scalable, production‑ready retrieval workflows
  • Data pipeline engineering, building and operating AI‑ready pipelines using AWS Glue, S3 and related services to support model training, inference and evaluation
  • Advanced observability and reliability engineering, including experience with CloudWatch, OpenTelemetry and established production resilience patterns for AI workloads in critical banking systems
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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