Staff AIML Solutions Engineer

Role Description

Staff AI/ML Solutions Engineer is a senior individual contributor within the AI/ML organization, accountable end-to-end for AI/ML products across the auto lending ecosystem from the business problem and its prioritization through the solution design, recommending build versus buy decision, and the realized value.

This role operates at the intersection of business, product, engineering, and AI/ML, and serves as the single point of contact to the business for their assigned domains. The Staff AI ML Solutions Engineer partners closely with stakeholders across Business Operations, ML Engineering, Platform Engineering, Data Science, AI Operations, Analytics, and Marketing.

Outcomes and Activities:

• This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
• Serve as the single point of contact to the business for assigned AI/ML domains; understand business needs, identify AI/ML opportunities, and define solution direction.
• Lead discovery: frame the business problem, size the opportunity, and validate the need and feasibility before committing to a solution.
• Own the product roadmap and its prioritization, making and demonstrating value in what the organization should and should not pursue.
• Define success in measurable terms, the KPIs and the vision and roadmap per-product.
• Translate framed problems into clear solution direction, technical specifications, and delivery plans in partnership with AI/ML Engineering and AI/ML Science teams.
• Own the build-versus-buy recommendation for assigned solutions, with a defensible rationale; lead vendor evaluation, commercial input, integration design, and proof-of-concept scoping.
• Own the solution lifecycle from problem framing through delivery, adoption, and continuous improvement.
• Continually analyze operational signals from AI Operations viz. cost, quality, and usage and translate them into the roadmap and re-solutioning work, including vendor renewal and true-up decisions.
• Establish, monitor, and analyze KPIs to evaluate effectiveness and drive iterative improvement.
• Act as a trusted advisor to business and technology leadership, influencing decisions through expertise, data, and clear communication, and protecting the roadmap from being captured by what is technically interesting rather than valuable.

Qualifications

• Bachelor’s degree in computer science, Engineering, Business, Data Science, Artificial Intelligence, Data Analytics or a related field (Master's degree preferred).
• 8+ years of experience in technical product management, solution ownership, or business-facing solution roles, preferably within financial services, and including AI/ML or data products.
• Strong understanding of AI and machine learning concepts and system design, ability to set realistic expectations, and make defensible build-versus-buy decisions.
• Demonstrated ability to own a product outcome end to end, from problem framing through launch and post launch monitoring.
• Working proficiency with Python, system design and SQL sufficiently to engage credibly with technical teams and reason about feasibility.
• Strong understanding of AI features and capabilities including RAG, multi-agent systems, agentic AI, LLM applications, etc.
• Demonstrated ability to lead complex, cross-functional initiatives without formal people management responsibility.
• Excellent problem-solving, analytical, and stakeholder-communication skills, including ability to communicate value and ROI to senior leadership.
• Comfortable operating with significant autonomy, accountability, and ambiguity.

Requirements

• Experience defining metrics and KPI frameworks for AIML or data products.
• Experience implementing solutions using Databricks, Mlflow, AWS technology stack.
• Experience owning vendor relationships, commercial negotiations, or integration design.
• Experience working in at least two of the following areas: Product, Data Science, Machine Learning, Data Engineering, Software Engineering.
• Strong working knowledge of Agile and Scrum methodologies.

Benefits

• Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/dental/vision and many nonstandard benefits that make us a Great Place to Work.