About The Job:
We are seeking a hands-on Senior AI Technical Lead to drive our Generative AI and Predictive AI initiatives on OpenShift AI. This role focuses on taking AI solutions from prototype to scalable production, with strong expertise in LLMOps, MLOps, and Kubernetes/OpenShift.
What Will You Do:
MLOps, LLMOps & Inference
Deploy and optimize model serving using high-performance engines such as vLLM
Build end-to-end ML pipelines using Kubeflow Pipelines for predictive AI workflows
Implement LLMOps practices including model lifecycle, evaluation, and prompt workflows
Apply optimization techniques such as quantization (AWQ, GPTQ) and LoRA / QLoRA fine-tuning
AI Frameworks, Agents & Protocols
Build and deploy AI applications using Llama Stack, LangChain, and LangGraph
Design and deploy AI agents using Llama Stack, including tool integration and multi-step workflows
Work with MCP (Model Context Protocol) servers for tool and context integration
Understand and implement A2A (Agent-to-Agent) communication protocols for multi-agent systems
Manage agent-based and generative AI workloads across real-time and batch systems
Architecture & Observability
Apply AI patterns such as RAG, agents, and prompt engineering
Design scalable, production-grade AI systems
Monitor performance metrics like latency, TPS, TTFT, and cost per request using Prometheus and Grafana
OpenShift / Kubernetes & GPU Stack
Deploy and manage AI workloads on OpenShift AI (Kubernetes)
Kubernetes & OpenShift Expertise
Strong understanding of pods, deployments, services, config maps, secrets
Experience with networking (ingress/routes), storage (PVCs), and security (RBAC, SCCs)
Familiarity with operators and OpenShift-native constructs
Container Ecosystem
Proficiency with Podman and Docker
Experience with container image build, registry management, and lifecycle
GPU & NVIDIA Stack (High-Level)
Awareness of GPU Operator, CUDA, device plugins, and MIG
Familiarity with TensorRT and Triton Inference Server
Technical Leadership
Drive AI platform roadmap including model registries and reusable AI services
Collaborate with stakeholders to translate technical metrics into business impact
Mentor teams on best practices in AI system design, MLOps, and LLMOps
What You Will Bring
8–10 years in AI/ML development
3+ years working with LLMs and production AI systems
Strong hands-on experience with Kubernetes/OpenShift and container platforms
About Red Hat
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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