AI DevOps Engineer

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.

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.

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 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