2 months ago
Responsibilities
- Lead customer discovery, workshops, solution design, proposals, and technical presentations during pre-sales.
- Partner with Sales and Account teams to shape opportunities, define scope, and support complex solution sales cycles.
- Assess customer AI, data, infrastructure, and IT environments and propose scalable architectures.
- Design and implement enterprise AI platforms based on Red Hat OpenShift AI and Red Hat OpenShift.
- Lead MLOps initiatives covering model lifecycle management, deployment automation, monitoring, governance, and operationalization.
- Architect model training, fine-tuning, serving, and inference solutions at scale.
- Support deployment of Generative AI and Large Language Model workloads, including RAG and AI application architectures.
- Provide technical leadership during delivery and advise customers on AI and platform roadmaps.
- Drive adoption of DevOps, automation, and Infrastructure as Code practices.
- Collaborate with Product Engineering, Consulting, Support, customers, and partners while contributing reusable assets and best practices.
Requirements
- 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.
- Deep 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, LLMs, 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 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 English written and verbal communication.
- Red Hat certifications and AI/ML-related certifications are preferred.
Benefits
- Red Hat associates work flexibly in in-office, office-flex, or fully remote environments depending on role requirements.
- Red Hat provides an open and inclusive work environment and reasonable accommodations for applicants with disabilities.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies. We hire creative, passionate people who are ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.