Staff AIML Solutions Engineer

Job Summary

Required Qualifications

• •Bachelor's degree in computer science, Engineering, Business, Data Science, Artificial Intelligence, Data Analytics or a related field
• •8+ years of experience in technical product management, solution ownership, or business‐facing solution roles
• •Experience preferably within financial services
• •Experience including AI/ML or data products
• •Strong understanding of AI and machine learning concepts and system design
• •Ability to set realistic expectations
• •Ability to 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
• •Working proficiency with system design
• •Working proficiency with SQL
• •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 skills
• •Analytical skills
• •Stakeholder‐communication skills
• •Ability to communicate value and ROI to senior leadership
• •Comfortable operating with significant autonomy, accountability, and ambiguity
• •Ability to translate fuzzy business needs into both a measurable definition of success and a feasible solution shape
• •Strong systems thinking
• •Ability to solve problems at the root cause with practical, scalable solutions
• •Strong prioritization skills
• •Ability to say no, when required
• •Ability to communicate complex technical and analytical information clearly and concisely, both verbally and in writing, including senior and executive leadership
• •Ability to build trust, credibility, and strong relationships across all levels of the organization
• •Proven ability to prioritize effectively and execute in a fast‐paced, high‐pressure environment
• •Ability to work from home
• •Ability to travel occasionally to an assigned Southfield, Michigan office location
• •Ability to work at a Southfield, Michigan office location if requested by the team member
• •Ability to serve as the single point of contact to the business for assigned AI/ML domains
• •Ability to understand business needs
• •Ability to identify AI/ML opportunities
• •Ability to define solution direction
• •Ability to frame the business problem
• •Ability to size the opportunity
• •Ability to validate the need and feasibility before committing to a solution
• •Ability to own the product roadmap and its prioritization
• •Ability to make and demonstrate value in what the organization should and should not pursue
• •Ability to define success in measurable terms
• •Ability to establish KPIs
• •Ability to define the vision and roadmap per‐product
• •Ability to translate framed problems into clear solution direction
• •Ability to develop technical specifications
• •Ability to develop delivery plans
• •Ability to lead vendor evaluation
• •Ability to provide commercial input
• •Ability to design integration
• •Ability to scope proof‐of‐concept
• •Ability to own the solution lifecycle from problem framing through delivery, adoption, and continuous improvement
• •Ability to analyze operational signals from AI Operations viz. cost, quality, and usage
• •Ability to translate operational signals into the roadmap and re‐solutioning work
• •Ability to make vendor renewal decisions
• •Ability to make true‐up decisions
• •Ability to establish, monitor, and analyze KPIs to evaluate effectiveness
• •Ability to drive iterative improvement
• •Ability to act as a trusted advisor to business and technology leadership
• •Ability to influence decisions through expertise, data, and clear communication
• •Ability to protect the roadmap from being captured by what is technically interesting rather than valuable
• •Experience defining metrics and KPI frameworks for AIML or data products
• •Experience implementing solutions using Databricks
• •Experience implementing solutions using Mlflow
• •Experience implementing solutions using AWS technology stack
• •Experience owning vendor relationships
• •Experience owning commercial negotiations
• •Experience owning 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
• •Knowledge of translating fuzzy business needs into both a measurable definition of success and a feasible solution shape
• •Knowledge of strong systems thinking
• •Knowledge of ability to solve problems at the root cause with practical, scalable solutions
• •Knowledge of strong prioritization skills
• •Knowledge of ability to say no, when required
• •Knowledge of ability to communicate complex technical and analytical information clearly and concisely, both verbally and in writing, including senior and executive leadership
• •Knowledge of ability to build trust, credibility, and strong relationships across all levels of the organization
• •Knowledge of proven ability to prioritize effectively and execute in a fast‐paced, high‐pressure environment
• •Knowledge of ability to translate fuzzy business needs into both a measurable definition of success and a feasible solution shape
• •Knowledge of ability to work from home
• •Knowledge of ability to travel occasionally to an assigned Southfield, Michigan office location
• •Knowledge of ability to work at a Southfield, Michigan office location if requested by the team member
• •Knowledge of ability to serve as the single point of contact to the business for assigned AI/ML domains
• •Knowledge of ability to understand business needs
• •Knowledge of ability to identify AI/ML opportunities
• •Knowledge of ability to define solution direction
• •Knowledge of ability to frame the business problem
• •Knowledge of ability to size the opportunity
• •Knowledge of ability to validate the need and feasibility before committing to a solution
• •Knowledge of ability to own the product roadmap and its prioritization
• •Knowledge of ability to make and demonstrate value in what the organization should and should not pursue
• •Knowledge of ability to define success in measurable terms
• •Knowledge of ability to establish KPIs
• •Knowledge of ability to define the vision and roadmap per‐product
• •Knowledge of ability to translate framed problems into clear solution direction
• •Knowledge of ability to develop technical specifications
• •Knowledge of ability to develop delivery plans
• •Knowledge of ability to lead vendor evaluation
• •Knowledge of ability to provide commercial input
• •Knowledge of ability to design integration
• •Knowledge of ability to scope proof‐of‐concept
• •Knowledge of ability to own the solution lifecycle from problem framing through delivery, adoption, and continuous improvement
• •Knowledge of ability to analyze operational signals from AI Operations viz. cost, quality, and usage
• •Knowledge of ability to translate operational signals into the roadmap and re‐solutioning work
• •Knowledge of ability to make vendor renewal decisions
• •Knowledge of ability to make true‐up decisions
• •Knowledge of ability to establish, monitor, and analyze KPIs to evaluate effectiveness
• •Knowledge of ability to drive iterative improvement
• •Knowledge of ability to act as a trusted advisor to business and technology leadership
• •Knowledge of ability to influence decisions through expertise, data, and clear communication
• •Knowledge of ability to protect the roadmap from being captured by what is technically interesting rather than valuable
• •Knowledge of ability to remain compliant with our policies processes and legal guidelines
• •Knowledge of ability to attend as required by department

Desired Qualifications

• •Master's degree
• •Experience within financial services
• •Experience including AI/ML or data products
• •Experience defining metrics and KPI frameworks for AIML or data products
• •Experience implementing solutions using Databricks
• •Experience implementing solutions using Mlflow
• •Experience implementing solutions using AWS technology stack
• •Experience owning vendor relationships
• •Experience owning commercial negotiations
• •Experience owning 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
• •Knowledge of translating fuzzy business needs into both a measurable definition of success and a feasible solution shape
• •Knowledge of strong systems thinking
• •Knowledge of ability to solve problems at the root cause with practical, scalable solutions
• •Knowledge of strong prioritization skills
• •Knowledge of ability to say no, when required
• •Knowledge of ability to communicate complex technical and analytical information clearly and concisely, both verbally and in writing, including senior and executive leadership
• •Knowledge of ability to build trust, credibility, and strong relationships across all levels of the organization
• •Knowledge of proven ability to prioritize effectively and execute in a fast‐paced, high‐pressure environment
• •Knowledge of ability to translate fuzzy business needs into both a measurable definition of success and a feasible solution shape
• •Knowledge of ability to work from home
• •Knowledge of ability to travel occasionally to an assigned Southfield, Michigan office location
• •Knowledge of ability to work at a Southfield, Michigan office location if requested by the team member
• •Knowledge of ability to serve as the single point of contact to the business for assigned AI/ML domains
• •Knowledge of ability to understand business needs
• •Knowledge of ability to identify AI/ML opportunities
• •Knowledge of ability to define solution direction
• •Knowledge of ability to frame the business problem
• •Knowledge of ability to size the opportunity
• •Knowledge of ability to validate the need and feasibility before committing to a solution
• •Knowledge of ability to own the product roadmap and its prioritization
• •Knowledge of ability to make and demonstrate value in what the organization should and should not pursue
• •Knowledge of ability to define success in measurable terms
• •Knowledge of ability to establish KPIs
• •Knowledge of ability to define the vision and roadmap per‐product
• •Knowledge of ability to translate framed problems into clear solution direction
• •Knowledge of ability to develop technical specifications
• •Knowledge of ability to develop delivery plans
• •Knowledge of ability to lead vendor evaluation
• •Knowledge of ability to provide commercial input
• •Knowledge of ability to design integration
• •Knowledge of ability to scope proof‐of‐concept
• •Knowledge of ability to own the solution lifecycle from problem framing through delivery, adoption, and continuous improvement
• •Knowledge of ability to analyze operational signals from AI Operations viz. cost, quality, and usage
• •Knowledge of ability to translate operational signals into the roadmap and re‐solutioning work
• •Knowledge of ability to make vendor renewal decisions
• •Knowledge of ability to make true‐up decisions
• •Knowledge of ability to establish, monitor, and analyze KPIs to evaluate effectiveness
• •Knowledge of ability to drive iterative improvement
• •Knowledge of ability to act as a trusted advisor to business and technology leadership
• •Knowledge of ability to influence decisions through expertise, data, and clear communication
• •Knowledge of ability to protect the roadmap from being captured by what is technically interesting rather than valuable
• •Knowledge of ability to remain compliant with our policies processes and legal guidelines
• •Knowledge of ability to attend as required by department