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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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
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