Red Hat · 7 hours ago
Forward Deployed AI Engineer, Customer Adoption and Innovation
Red Hat is the world’s leading provider of enterprise open source software solutions, and they are seeking a Forward Deployed AI Engineer to join their AI Customer Adoption and Innovation team. This role involves acting as a bridge between engineering and customer environments, leading the implementation of AI inference solutions, and optimizing them to meet specific business needs.
Enterprise SoftwareInsurTechLinuxOpen SourceOperating SystemsSoftware
Responsibilities
Lead Lighthouse Implementations: Lead the technical delivery for critical, high-profile customer Proofs of Concept (POCs) and production pilots. You will be the primary technical expert hands-on with the customer, helping them navigate the complexities of LLM inference in their specific clusters
Optimization & Architecture: Provide expert advice on inference sizing, configuration, and resource management. You will guide customers on how to best configure their OpenShift environments to support computationally intensive AI workloads
Field Enablement & Asset Creation: Enable our field teams by turning lessons from customer engagements into reusable assets. You will develop reference architectures, field manuals, and validated patterns that allow other AI specialists to execute similar engagements independently
Stakeholder Communication: Translate technical metrics into business value. You will be expected to communicate effectively with both technical teams (DevOps, SREs) and business stakeholders to justify architecture decisions
Product Feedback Loop: Act as a liaison between the customer and the Product and Engineering teams. You will ensure that real-world feedback regarding platform performance and usability is properly prioritized in the product roadmap
Qualification
Required
Consulting & Architecture Experience: Proven experience in a technical consulting, professional services, or solutions architect role. You are comfortable leading the delivery of complex technical solutions and managing customer expectations in a post-sales or implementation environment
Deep OpenShift or Kubernetes Expertise: You possess extensive hands-on experience with OpenShift or Kubernetes. You deeply understand how to deploy, scale, and manage complex workloads, operator lifecycles, and resource quotas in a containerized environment
Performance & Optimization Mindset: You have a background or strong interest in system performance. You understand concepts regarding latency, throughput, and efficient resource utilization
Inference background: You should already have familiarity with inference technologies such as Kserve, vLLM, and potentially llm-d
Functional Python Skills: You are capable of reading and writing Python code to script automation or interact with necessary libraries
Communication Skills: Excellent written and verbal communication skills in English. You can confidently present to audiences ranging from operations teams to business leadership
Preferred
Familiarity with the AI Stack: Experience with tools like llm-compressor, guidellm, etc
Networking Knowledge: Understanding of networking concepts (L7/Gateway API) or high-performance computing networking
Model Tuning Experience: Exposure to post-training techniques such as knowledge distillation, LoRA/QLoRA, or quantization
Benefits
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
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Company
Red Hat
Red Hat is a software company that offers enterprise open-source software solutions. It is a sub-organization of IBM.
H1B Sponsorship
Red Hat has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (159)
2024 (148)
2023 (156)
2022 (181)
2021 (154)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired
1999-08-20IPO
1999-03-09Corporate Round
Leadership Team
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