DevOps, MLOps & GenAI Platform Owner (IC)

DevOps, MLOps & GenAI Platform Owner (IC) This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you What you’ll do: 1. Platform Ownership (Ops + Governance) Own production systems: incidents, SLAs, stability, uptime Drive RCA and eliminate recurring issues (sync, bots, latency) Improve observability, monitoring, and reliability 2. Technical Leadership (Hands-on) Build and optimize CI/CD, MLOps, and GenAI pipelines Deploy and tune ML/GenAI models (RAG, prompt optimization) Manage data pipelines (SharePoint/API ingestion, sync) Ensure scalable infra (Docker, Kubernetes, cloud) 3. Automation & Bot Ecosystem Own/Govern RPA platforms (WorkFusion/UiPath) Fix bot failures, duplicates, scheduling issues Improve resilience and scalability 4. AI Quality & Governance Improve retrieval accuracy, reduce hallucinations Optimize latency, cost, and response quality Define and drive basic governance and validation checks. 5. Stakeholder Management Interface with business, analytics, and engineering teams Translate requirements → technical solutions Provide status, risks, and KPI reporting 6.

Leadership (IC+) Mentor junior engineers and support teams Drive best practices across DevOps/MLOps/AI Lead execution for small pods/projects What you need to bring: Core Tech DevOps/MLOps: Jenkins, GitLab, Azure DevOps Cloud + Containers: Azure, Docker, Kubernetes Programming: Python, Java, Selenium RPA: WorkFusion / UiPath / Automation Anywhere AI/ML GenAI (RAG, prompt engineering, evaluation) ML deployment & monitoring Systems Production support at scale, incident mgmt, change mgmt and ITIL governance Data pipelines & enterprise integrations (SAP, ServiceNow, SharePoint, etc) Monitoring Prometheus, Grafana, ELK, Spark, Airflow Success Metrics Reduced incident volume & MTTR Improved AI accuracy & trust Stable bot/automation ecosystem Faster delivery of enhancements Effective stakeholder mgmt without escalations What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal