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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI platforms, particularly with Red Hat OpenShift and MLOps practices. Proven ability to engage in pre-sales activities and provide technical leadership while translating business needs into scalable AI solutions.
Highest-signal resume keywords
Red Hat OpenShiftMLOps WorkflowsGenerative AIInfrastructure as Code (IaC)Cloud Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Platform DesignModel Lifecycle ManagementModel DeploymentMonitoring and GovernanceHybrid Cloud ArchitecturesContainer PlatformsData Science PlatformsAI FrameworksRetrieval-Augmented Generation (RAG)Automation Tools
Soft Skills
Strong Communication SkillsExecutive-Level StorytellingCustomer Engagement
Tools & Technologies
AnsibleTerraformRed Hat OpenShift AI
Industry Keywords
Enterprise InfrastructureData ArchitecturesAI SolutionsTechnical ProposalsPre-Sales Activities
Tech Stack
Tools & technologiesAnsibleCloudOpenShiftTerraform
About the role
Key responsibilities & impact- Engage in pre-sales activities, including customer discovery sessions, workshops, and solution design
- Partner with Sales and Account teams to shape opportunities, define scope, and build compelling technical proposals
- Support RFP/RFI responses and present AI solutions to technical and executive stakeholders
- Assess customer AI, data, and infrastructure environments and propose scalable architectures
- Design and implement enterprise AI platforms based on Red Hat OpenShift AI and Red Hat OpenShift
- Lead MLOps adoption initiatives, including model lifecycle management, deployment automation, monitoring, and governance
- Architect solutions for model training, fine-tuning, serving, and inference at scale
- Support customers in deploying and operationalizing Generative AI and Large Language Model (LLM) workloads
- Provide technical leadership during delivery, ensuring alignment with architectural best practices
- Act as a trusted advisor to customers and partners, helping define AI and platform roadmaps
- Collaborate with Product Engineering, Consulting, and Support teams to deliver high-quality solutions
- Drive adoption of MLOps, DevOps, automation, and Infrastructure as Code (IaC) practices
- Contribute to internal knowledge sharing, reusable assets, and best practices
Requirements
What you’ll need- 8+ years of experience in consulting, platform engineering, cloud architecture, data platforms, or enterprise infrastructure roles
- Proven experience in pre-sales or customer-facing roles, supporting complex solution sales cycles
- Strong expertise in Red Hat OpenShift and Red Hat OpenShift AI
- Experience designing and implementing AI/ML platforms and MLOps workflows
- Knowledge of machine learning lifecycle management, model deployment, monitoring, and governance
- Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI application architectures
- Familiarity with data science platforms, AI frameworks, and model serving technologies
- Experience with hybrid cloud architectures and container platforms
- Experience with automation and Infrastructure as Code (IaC) tools such as Ansible and Terraform
- Solid understanding of enterprise infrastructure, security, networking, and data architectures
- Strong communication and presentation skills, including executive-level storytelling
- Ability to translate business objectives into AI and platform solutions
- Fluent in English (written and verbal)
Benefits
Comp & perks- Flexible working arrangements
- Professional development opportunities