Job
Description
Work with the customer Account Executive, Sales Manager, Sales Specialist, and Solution Architect to identify challenges and blockers to drive RHOAI consumption within new and existing customer accounts. Plan, design, and execute AI systems via Red Hat OpenShift AI 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 the adoption of RHOAI. 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. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 8+ years ofpre-sales, solution architecture and development experience with5+ years in Machine Learning, Data Science, and Artificial Intelligence. Ideate business use cases with Data Scientists, Developers, Line of Business and C-suite leaders. Effective pipeline development leveraging cross-functional teams and design programs and executing strategies to achieve the desired pipeline. Extensive community brand in circles such as AI User Groups or other AI Communities, must have BFSI industry vertical experience. Recognized thought leadership in AI/MLOps Experience delivering technical presentations and leading business value sessions. Experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches. Executive presence with public speaking skills, and Expert Practitioner of the Challenger Sales Model and Entrepreneurial mindset Preferred technical and professional experience At least 5 years specializing as a machine learning engineer or AI / ML architect Deep theoretical and practical expertise in data science fundamentals, solution lifecycles, and AIOps methodologies. Strong background in software development and AI implementation. Red Hat /Other AI Industry Certifications Good Knowledge of Cloud Computing
