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

Requirements

SME with 4+ years of hands-on experience in one of the following areas: Machine Learning Use Case Development, including: building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).
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: 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

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!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningAI applicationsdeep learningLLM/RAGNLPcomputer visionpattern recognitionPythonTensorFlowPyTorch

Soft Skills

technical presentationspublic speakingexecutive presencecustomer advocacycollaborationproblem-solvingcommunication

Certifications

Computer Science degree