AI Solutions Lead for OpenShift Deployments

Red Hat Professional Consulting, Inc. (f.k.a Planning Technologies, Inc.); Virginia; Hybrid; USD 130,000 - 215,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) retirement

PTO and holidays

Parental leave

Stock purchase plan

Disability benefits

Job summary

Red Hat is seeking a Senior Consultant to implement practical AI solutions using OpenShift and Red Hat AI. You will be hands-on in deployments delivering cost-optimized inference, model services with chargeback, and operationalized AI agents for enterprise clients.

You will travel to customer locations across North America about 30-40 weeks per year, build reusable assets, and mentor teams while shaping scalable AI implementations on complex platforms.

Qualifications

• Experience delivering an implementation based on an architectural design.
• Ability to collaborate on project timelines and maintain technical documentation.
• Experience working across diverse teams and stakeholders.

Responsibilities

• Guide customers in implementing scalable, production-ready AI solutions using OpenShift and Red Hat AI.
• Deploy, optimize, and serve AI models with benchmarking tools and optimization techniques.
• Configure Models-as-a-Service and GPU-as-a-Service on OpenShift AI with multi-tenancy and metering.
• Build agentic systems and automation workflows with Ansible and modern frameworks.
• Share knowledge and runbooks with internal communities of practice.
• Travel weekly, Monday-Thursday, to client locations.

Skills

OpenShift

GitOps

Multi-cluster

Kubernetes

Python/Go/Java

AI/ML

Tools

Ansible Automation Platform

Eval Hub

LangGraph

vLLM/KServe

Job description

Red Hat is seeking a Senior Consultant to implement practical AI solutions using OpenShift and Red Hat AI. You will be hands-on in deployments delivering cost-optimized inference, model services with chargeback, and operationalized AI agents for enterprise clients.

You will travel to customer locations across North America about 30-40 weeks per year, build reusable assets, and mentor teams while shaping scalable AI implementations on complex platforms.