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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Specialist Solution Architect - **Company:** Red Hat - **Location:** Denver, United States (Remote available) - **Experience:** Expert - **Salary:** $172,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Computer Vision, Software as a Service, Cloud Computing, Code Generation, Cyber Security, System Configuration, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Pattern Recognition, Red Hat Enterprise Linux, Ansible, Tensorflow, Software Engineering, Enterprise Software Applications, Pytorch, Large Language Models, Infrastructure as Code (IaC), Backend, Agentic-AI, Containerization, Kubernetes, Information Technology, SDN Network, Low Latency, Free and Open-Source Software, Machine Learning Operations, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-ai-platform-specialist-solution-architect/11495808?handler=ApplyRedirect ## About the Role * Kubernetes & Container Platform Expertise: 4+ years of hands-on experience architecting, deploying, and managing production-grade containerized environments, with deep technical expertise in Kubernetes. Solid understanding of cluster operations, software-defined networking, persistent storage, and cluster security. * Infrastructure for AI/ML Workloads: Proven experience configuring, optimizing, and scheduling containerized workloads on Kubernetes, specifically involving specialized hardware resource management (such as GPU scheduling, NVIDIA Operators, or Multi-Instance GPU configuration). * Practical experience in one of the following areas: + Machine Learning Use Case Development, including: o building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition). o Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). + Machine Learning Operations design, including: o Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches. * Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible). * Experience delivering technical presentations and leading business value sessions. * Executive presence with public speaking skills Nice to have: * Computer Science or similar degree * Previous experience as a sales engineer, technical sales, or similar role preferably at an enterprise software company, a SaaS company, or Systems Integrator * Previous experience as an implementation consultant for AI solutions * Previous experience in Machine Learning Use Case Development and Operations experience * Industry vertical experience with Data Science projects. i.e. - expertise in FSI, medical, defense, and intelligence verticals * Community brand in volunteer tech communities like AI Users Group or open-source projects ## Description The Red Hat North America Technology Sales team is looking for an AI Platform Specialist Solution Architect (SSA) to join our team. This position assumes a crucial role in providing expert deep technical sales support for the seamless execution of Go-To-Market (GTM) strategies related to Red Hat AI within North American Your primary focus will be to remove organizational, technical, and competitive blockers of adoption within key accounts to become the preferred AI platform for workloads and applications across the business and help our customers leverage their proprietary data to gain a sustainable advantage over their competitors by helping them train, build, and manage applications that rely on these models. You will need to be able to confidently articulate our value proposition to leadership, data scientists, developers, and IT teams within the account. This will entail technical architecture walk-throughs, business-value conversations, customer-facing technical workshops, and implementation of best practices in AI systems implementation and design. You will work closely with the AI business unit and engineering, helping to test, document, and demonstrate cutting-edge features. You will also work in close collaboration with Red Hat customer sales, Customer Success, Consulting Services, and partner teams to ensure a highly positive customer experience. What you will do: * Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI within new and existing customer accounts * Plan, design, and execute AI systems with customers having the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required * Facilitate pre, and post-sales activities when needed, including technical deep dives, proofs of concept, "bake-offs," internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI * Identify and partner with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams * Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions * Execute community outreach and customer advocacy activities including conference speaking, blog posts, etc, Consumer Web * eCommerce * Information Technology * Retail * Software * Analytics * App development Leads state and local government affairs across Western markets, including lobbying, policy strategy, legislative and regulatory monitoring, stakeholder engagement, and relationships with policymakers, trade associations, consultants, and community groups. Partners cross-functionally to align advocacy with enterprise priorities, analyzes policy impacts, manages multiple jurisdictions and initiatives, and serves as a subject matter lead on priority retail policy issues. CrowdStrike, Build agentic AI workflows and platforms that automate software development lifecycle activities, including code generation, review, testing, and release. Improve context grounding, model routing, observability, benchmarking, and cost efficiency for LLM-powered engineering tools. Partner with engineering teams to identify workflow friction and promote responsible AI adoption. The role requires backend and platform engineering experience, LLM-agent infrastructure expertise, Kubernetes experience, and proficiency in Go or Python. Top Skills: A/B TestingAi Coding Agent FrameworksEntity ResolutionEvent PipelinesGoKnowledge GraphsKubernetesLarge Language ModelsLlm Agent InfrastructureObservability ToolingPython, CrowdStrike