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AI DevOps Engineer

Elavon

Hybrid
London, United Kingdom
Full-time
Mid Level
Salary not listedPosted 3w ago

Real job — pulled straight from Elavon’s careers page · Verified August 21, 2026 · No reposts.

Job description

Elavon is hiring a AI DevOps Engineer — a full-time, based in London, United Kingdom role. Apply directly on Elavon's careers page below.

AI DevOps Engineer

Location: London, United Kingdom

Time Type: Full time

Job Description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One.

 

As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

 

We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation.

We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.

Job Description

The AI DevOps Engineer owns the deployment, operations, and reliability of the AI‑SDLC platform as it transitions from local/team execution to a centralised, hosted enterprise service. This person builds and manages the infrastructure, CI/CD, monitoring, and observability that keep the platform available, secure, and scalable across multiple teams and products. They automate deployments, maintain pipelines, and provide operational support, playing a critical role in productionising the AI‑SDLC and ensuring it meets enterprise SLAs, security, and governance requirements.

Key responsibilities

  • Own AI-SDLC deployment, operations, and platform reliability (uptime, performance, incident response).
  • Manage infrastructure, monitoring, observability, and operational/on-call support.
  • Build and maintain CI/CD pipelines and automation for platform releases.
  • Drive the shift to a centralised, hosted AI-SDLC service — scalability, multi-tenancy, cost, and resilience.

Must‑have technical skills

  • CI/CD — GitLab Pipeline / Jenkins / Harness (highly relevant given your Harness Engineering direction).
  • Infrastructure as Code — Terraform.
  • Cloud platform — AWS (ECS/EKS, Lambda, S3, IAM, networking); container orchestration with Docker + Kubernetes.
  • Observability & monitoring — OpenTelemetry, CloudWatch, logging/tracing for AI workloads.
  • Scripting/automation — Python and/or Bash.
  • Security & compliance operations — secrets management, IAM/least privilege, PCI DSS-aligned controls, auditability.
  • Reliability engineering — SLIs/SLOs, incident management, cost and capacity management (incl. LLM token/credit cost control).

Nice‑to‑have skills

  • LLMOps / MLOps — model serving, gateway/proxy management, prompt/version management, guardrails at runtime.
  • Experience hosting AI/agentic platforms as a shared internal service (multi-tenant).
  • Bedrock / model-hosting and API gateway management.
  • FinOps for AI (usage-based cost optimisation).
  • LangGraph, LangChain understanding

Location expectations 
This role requires working from a U.S. Bank location three (3) or more days per week
 

Visa Update - This position is not eligible for visa sponsorship.

Accessibility

We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.

Total Rewards

U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.

 

We offer a market-competitive compensation package that includes:

  • Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.

  • Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.

  • Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).

  • Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.

  • Employee recognition programs that celebrate achievements and milestones for all.

 

We regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends. Further details of the compensation package will be provided upon application.

We encourage candidates to explore the full value of our offer, including monetary and non-monetary benefits, at Employee benefits and development | U.S. Bank | Elavon.

 

Closing Date

Posting may be closed earlier due to high volume of applicants.

 

We aim to provide timely updates throughout the process and encourage early applications to ensure consideration.

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Frequently asked questions

What skills are required for AI DevOps Engineer at Elavon?

The required skills for AI DevOps Engineer at Elavon include: Jenkins, Terraform, AWS, ECS, EKS, Lambda, S3, IAM, Docker, Kubernetes, OpenTelemetry, CloudWatch, Python, Bash, PCI DSS, MLOps, LangGraph, LangChain.

What is the seniority level for AI DevOps Engineer at Elavon?

AI DevOps Engineer at Elavon is a Mid Level level position.

How do I apply for AI DevOps Engineer at Elavon?

You can view the full description and apply for AI DevOps Engineer at Elavon on EchoJobs: https://echojobs.io/job/u-s-bank-ai-devops-engineer-gaofe.