2 days ago
Base Salary
$130k - $215k/yr
Responsibilities
- Design and deliver strategic enterprise AI solutions through technical leadership, hands-on implementation, and customer enablement.
- Lead model selection, optimization, serving, inference-cost benchmarking, and decisions on prompting, grounding, or model tuning.
- Design portable inference across cloud APIs, on-premises clusters, and sovereign environments.
- Build evaluation-driven release gates, RAG and context architectures, and permission-aware knowledge ingestion.
- Lead sovereign and disconnected Red Hat AI deployments on OpenShift with provenance, signing, AI bills of materials, and compliance evidence.
- Design and operate Models-as-a-Service and GPU-as-a-Service platforms with multi-tenancy, gateways, metering, showback, chargeback, and self-service accelerator access.
- Build agentic infrastructure automation using Ansible Automation Platform, MCP, A2A, OpenAI-compatible APIs, Llama Stack, and LangGraph.
- Own engagement architecture and delivery plans, establish measurable success metrics, certify customer engineers, and create reusable practice assets.
- Represent Red Hat enterprise AI perspectives to technical and executive stakeholders, support sellers, and provide product feedback to internal teams.
- Lead internal Services initiatives supporting innovation, efficiency, and growth.
Requirements
- 10+ years of enterprise technology experience, including at least 5 years as a hands-on architect or senior consultant delivering in customer environments.
- Active Top Secret Clearance with TS/SCI CI Poly and residence in a state where Red Hat is registered to do business.
- Deep current OpenShift expertise covering cluster architecture, GitOps, multi-cluster management, security, observability, and GPU-enabled nodes; Red Hat Certified Architect or equivalent depth.
- Production experience with Red Hat AI or upstream technologies, including OpenShift AI, vLLM, KServe model serving, model registries and pipelines, and at least one of llm-d, LLM Compressor, or Eval Hub.
- Working knowledge of generative AI production practices, including inference economics, model optimization, RAG, evaluation, agent frameworks, MCP, governance, and cost management.
- Kubernetes application development fluency with containers, APIs, CI/CD, trusted software supply chains, SBOMs, signing, and policy gates, plus proficiency in Python, Go, or Java.
- Experience with Ansible Automation Platform and event-driven automation, or an equivalent transferable automation platform.
- Demonstrated record of leading customer engagements to measurable outcomes and enabling customer teams to operate delivered systems.
- Clear technical and executive communication skills and comfort establishing and reporting against success metrics.
- Preferred qualifications include production agent development, contributions to MCP, A2A, Llama Stack, LangGraph, or Kagenti, Models-as-a-Service or GPU-as-a-Service design, Kueue or Run:ai scheduling, AI FinOps, sovereign or regulated deployments, EU AI Act familiarity, model customization, synthetic data generation, open-source contributions, and forward-deployed or customer-engineering experience.
Benefits
- Annual salary range of $130,420.00-$215,300.00, with potential eligibility for bonus, commission, and/or equity.
- Comprehensive medical, dental, and vision coverage, plus flexible spending and health savings accounts.
- 401(k) retirement plan with employer match, paid time off, holidays, and paid parental leave.
- Disability, paid family medical, and paid military leave benefits.
- Employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and other benefits.
- Full-time permanent U.S. associates may receive the listed benefits; the role requires on-site customer work and regular weekly travel Monday through Thursday across North America.
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.