1 day ago
Base Salary
$96k - $154k/yr
Responsibilities
- Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI.
- Deploy, optimize, and serve AI models using vLLM, KServe, model registries, pipelines, benchmarking tools, and optimization recipes.
- Implement retrieval, context, and model-evaluation patterns, including RAG, permission-aware context, and Eval Hub workflows.
- 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 modern agent frameworks.
- Implement security, RBAC, auditability, trusted software supply-chain controls, and enterprise automation capabilities.
- Create reusable reference architectures, runbooks, harnesses, and recipes for customer and internal communities.
- Collaborate with customer stakeholders and technical teams on project timelines, scope, technical deliverables, and documentation.
- Mentor team members and customer engineers to promote self-sufficiency and share implementation knowledge.
Requirements
- Experience delivering hands-on technical implementations based on architectural designs in enterprise environments.
- Experience collaborating on project timelines, technical deliverables, project documentation, and scope of work.
- Current expertise with OpenShift, including cluster architecture, 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 practices, including inference economics, model selection and optimization, RAG, evaluation, agent frameworks, MCP, governance, and cost pressures.
- Application development fluency on Kubernetes using containers, APIs, CI/CD, and trusted software supply-chain practices in 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, customer stakeholders, and business stakeholders.
- Knowledge of and willingness to mentor team members and customer engineers.
- Active TS/SCI clearance and residence in a state where Red Hat is registered to do business.
- Willingness to travel to customer locations approximately 30–40 weeks per year, generally Monday through Thursday.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Flexible Spending Account and Health Savings Account options.
- 401(k) retirement plan with employer match.
- Paid time off, holidays, parental leave, disability leave, paid family medical leave, and paid military leave.
- Employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, and employee assistance program.
- Full-time, permanent U.S. associates may be eligible for the listed benefits.
- The position requires on-site work with clients and travel Monday through Thursday for approximately 30–40 weeks per year.
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.