2 days ago
Base Salary
$130k - $215k/yr
Responsibilities
- Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI.
- Deploy, optimize, benchmark, and serve AI models using vLLM, KServe, model registries, pipelines, and recipe-based optimization.
- Implement RAG, context ingestion, permission-aware context, and model evaluation workflows using tools such as Eval Hub.
- Configure and maintain Models-as-a-Service and GPU-as-a-Service capabilities, including multi-tenancy, AI gateways, metering, and self-service accelerator access.
- Build and integrate agentic systems and automation workflows using Ansible Automation Platform and agent frameworks such as MCP, A2A, OpenAI-compatible APIs, and LangGraph.
- Create reusable reference architectures, runbooks, harnesses, and recipes for customer and internal communities.
- Collaborate with customers and diverse technical stakeholders on project timelines, documentation, technical deliverables, and scope.
- Mentor customer engineers and team members to promote self-sufficiency and share implementation knowledge.
- Travel weekly to customer locations, generally Monday through Thursday.
Requirements
- Experience delivering hands-on technical implementations based on architectural designs in enterprise environments.
- Experience collaborating on project timelines, technical documentation, project deliverables, and scope of work.
- Current expertise with OpenShift cluster architecture, GitOps, multi-cluster management, security, observability, and GPU-enabled nodes.
- Experience with Red Hat AI or upstream technologies, including OpenShift AI, vLLM, KServe, model registries, pipelines, and at least one of llm-d, LLM Compressor, or Eval Hub.
- Working knowledge of enterprise generative AI, including inference economics, model selection and optimization, RAG, evaluation, agent frameworks, MCP, governance, and production cost pressures.
- Application development fluency on Kubernetes using containers, APIs, CI/CD, trusted software supply chains, SBOMs, signing, and policy gates, with proficiency in at least one of Python, Go, or Java.
- Hands-on experience with Ansible Automation Platform for enterprise automation and event-driven workflows, or the ability to transition quickly from comparable tools.
- Ability to work collaboratively across diverse technical teams, platform engineers, customers, and other stakeholders.
- Knowledge of and desire to mentor team members and customer engineers.
- Active Top Secret Clearance is required.
- Candidates must reside in a state where Red Hat is registered to do business and be willing to travel to customer locations approximately 30–40 weeks per year.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Flexible Spending Accounts and a Health Savings Account option.
- 401(k) retirement plan with employer match.
- Paid time off and holidays.
- Paid parental leave, disability leave, paid family medical leave, and paid military leave.
- Employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and other benefits.
- Benefits listed apply to full-time, permanent U.S. associates.
- The role requires on-site customer work and travel throughout North America approximately 30–40 weeks per year, typically Monday through Thursday.
- Customized enablement and certification opportunities covering Red Hat AI technologies, Services solutions, and consulting skills.
Tech Stack
Categories
Solutions Engineering
About Red Hat
Red Hat builds enterprise open-source software, including Red Hat Enterprise Linux, OpenShift for Kubernetes, and Ansible automation, sold via subscriptions with support, training, and consulting. It serves large enterprises and public-sector organizations running hybrid and multi-cloud infrastructure and modern application platforms. Founded in 1993 and headquartered in Raleigh, North Carolina, Red Hat operates as an independent subsidiary of IBM.