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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in implementing scalable AI solutions using Red Hat OpenShift and Red Hat AI, with a strong focus on model optimization, deployment, and operationalization. Proven ability to collaborate with diverse teams and deliver complex projects while maintaining technical documentation and stakeholder engagement.
Highest-signal resume keywords
Red Hat OpenShift ExpertiseAI Model Deployment and OptimizationAnsible Automation Platform ExperienceEnterprise Generative AI KnowledgeActive Top Secret Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI Solutions ImplementationModel Registries and PipelinesKubernetes Application DevelopmentPython ProgrammingGo ProgrammingJava ProgrammingInference EconomicsRAG ImplementationTechnical DocumentationProject Management
Soft Skills
CollaborationMentoringStakeholder EngagementKnowledge SharingProblem Solving
Tools & Technologies
Red Hat AIVLLMKServeEval HubAnsible Automation PlatformCI/CDGitOpsMulti-Cluster ManagementSecurity and ObservabilityGPU-as-a-Service
Certifications & Qualifications
Active Top Secret Clearance
Industry Keywords
AI AgentsOperationalized AICost-Optimized InferenceEnterprise EnvironmentsAgent Frameworks
Tech Stack
Tools & technologiesAnsibleJavaKubernetesOpenShiftPythonGo
About the role
Key responsibilities & impact- Implement practical AI solutions using Red Hat OpenShift and Red Hat AI to solve client challenges
- Deliver hands-on technical deployments producing tangible outcomes such as cost-optimized inference, model services with chargeback, and operationalized AI agents
- Work with customer teams to turn goals and delivery dates into fully implemented solutions
- Establish reusable engagement assets, including reference architectures, runbooks, and harnesses
- Guide customers in implementing scalable, production-ready AI solutions
- Deploy, optimize, and serve AI models using vLLM, KServe, model registries, pipelines, benchmarking tools, and optimization recipes
- Implement retrieval and context patterns including RAG, context ingestion, and permission-aware context
- Evaluate model performance using tools such as Eval Hub
- Configure and maintain Models-as-a-Service and GPU-as-a-Service on OpenShift AI, 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
- Incorporate security, RBAC, and auditability into agentic systems
- Travel weekly, Monday-Thursday, to client locations
- Share knowledge, runbooks, recipes, lessons learned, and best practices with internal and external communities of practice
- Develop into a technical lead delivering customer projects and complex, large-scale solutions
Requirements
What you’ll need- Experience delivering an implementation based on an architectural design
- Ability to collaborate on project timelines and maintain project and technical documentation
- Experience working collaboratively across diverse teams and stakeholders
- Current OpenShift expertise, including cluster architecture, GitOps, multi-cluster management, security and observability, and GPU-enabled nodes
- Experience with Red Hat AI or upstream technologies: OpenShift AI, vLLM, KServe, model registries and 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 cost pressures
- Application development fluency on Kubernetes, including containers, APIs, CI/CD, SBOM, signing, and policy gates, in Python, Go, or Java
- Hands-on experience with Ansible Automation Platform for enterprise automation, including event-driven workflows, or ability to transition skills from comparable tools
- Experience delivering hands-on technical implementations in enterprise environments
- Ability to meet stakeholder needs and deliver project timelines, technical deliverables, and scope expectations
- Experience collaborating with technical teams, platform engineers, and customer stakeholders
- Knowledge and desire to mentor team members and customer engineers
- Willingness to travel to customer locations about 30-40 weeks per year throughout North America
- Must reside in a state where Red Hat is registered to do business
- Active Top Secret Clearance required
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Employee stock purchase plan
- Family planning reimbursement
- Tuition reimbursement
- Transportation expense account
- Employee assistance program