Technical Product Analyst; AI​/ML - Onsite

Genesis
10 is currently seeking a Technical Product Analyst (AI/ML) – Onsite for a direct hire opportunity with a Financial Services Organization located in Plano, TX, or Camas, WA. Pay range: $120,000 - $170,000 per year. Eligible for a discretionary bonus based on firm and individual performance.

This role accelerates the research and development of new Artificial Intelligence solutions within the company's Innovation Lab Services team. The successful candidate will oversee reporting, budgeting, project management, and analysis relating to AI R&D. You will act as the bridge between research teams, engineering, and business stakeholders, reporting to the Group Vice President – Technology.

• Analyze market trends and conduct competitive research for AI products and technologies
• Support prioritization and roadmap planning for AI R&D initiatives
• Evaluate the latest AI technologies and assess their applicability to current research initiatives
• Lead and manage AI R&D initiatives from concept through delivery
• Track project progress and maintain performance metrics and reporting
• Foster a culture of innovation, experimentation, and continuous improvement
• Translate complex AI capabilities into business requirements and product features
• Define and document requirements, user stories, and process flows
• Support the deployment, configuration, and management of AI/ML platforms and tools
• Manage user access, permissions, and platform governance
• Provide technical support and training to AI teams and users
• Support data management and analysis required for AI model development
• Manage vendor and partner relationships supporting AI initiatives
• Ensure compliance with ethical AI standards and data privacy regulations

• Bachelor's Degree or combination of education and experience required
• Experience with AI/ML concepts, technologies, and development lifecycle
• Experience managing or supporting AI/ML projects in R&D environments
• Ability to translate complex technical concepts for non-technical partners
• Experience with modern AI platforms and development tools

• Experience with containerization technologies such as Docker and Kubernetes
• Experience with version control systems (Git) and CI/CD pipelines
• Ability to troubleshoot complex systems and network issues
• Hands‑on experience with NVIDIA AI‑Q frameworks and architectures is a strong plus

Equal Opportunity Employer. Candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.