AI Solutions Engineer

This role is responsible for identifying opportunities where artificial intelligence can improve decision making, streamline operations, enhance member experiences, and create measurable business value. It combines business curiosity, experimentation, technical problem solving, and solution development to uncover high value opportunities and transform them into practical, governed AI-enabled solutions. Rather than simply implementing technology, the AI solutions engineer seeks to understand how work gets done today, challenges existing assumptions, and helps business teams discover new and better ways of operating. The successful candidate is comfortable working across business and technical teams, translating operational challenges into innovative solutions while balancing governance, risk management, and long term sustainability. This position owns the full solution lifecycle, from opportunity discovery and requirement definition through solution design, development, testing, deployment, adoption and continuous improvement. Success in this role is measured not by the number of solutions delivered, but by the business outcomes achieved, the problems solved, and the value created for members, employees, and the organization.

Essential FunctionsOpportunity Discovery & Experimentation:Partner with business leaders and subject matter experts to understand workflows, decision processes, operational challenges, and opportunities for improvement.Identify opportunities where AI can create meaningful business value through increased effectiveness, efficiency, consistency, or member experience.Form hypotheses, develop rapid prototypes, and conduct experiments to evaluate potential solutions before larger investments are made.Challenge existing assumptions and recommend alternative approaches when traditional methods no longer represent the best solution.Employ innovative and evidence-based approaches to solving business problemsDevelop business cases and value assessments that support prioritization and investment decisions.AI Solution Design & Development:Design, build, test, and implement AI-enabled solutions that improve business outcomes and operational effectiveness.Develop prototypes, proofs of concept, and production ready solutions using modern AI technologies including generative AI, intelligent automation, machine learning, and workflow orchestration platforms.Evaluate multiple solution approaches and select the most appropriate technology, methodology, and implementation strategy.Leverage a broad range of AI tools, platforms and techniques to rapidly iterate and deliver value.Collaborate with business stakeholders throughout development to validate assumptions and refine solutions.Business Engagement & Transformation:Translate business challenges into structured business and technical requirements.Facilitate discovery sessions to understand current state processes and envision future state operating models.Help business teams rethink traditional workflows and identify opportunities to create AI-enabled or AI-native processes.Communicate technical concepts in a clear and business friendly manner.Manage stakeholder expectations regarding scope, timelines, risk, and anticipated benefits.Build strong partnerships across business and technical teams to drive adoption and organizational change.Governance, Risk & Responsible AI:Ensure all AI solutions comply with governance, security, privacy, risk management, and regulatory requirements.Maintain documentation that supports auditability, transparency, explainability, and long-term sustainability.Participate in reviews with Risk, Compliance, Information Security, Legal, and Internal Audit partners.Ensure solutions follow approved change management, model governance, and control frameworks.Support Responsible AI principles, including fairness, transparency, explainability, accountability, and appropriate human oversight.Deployment, Adoption & Continuous Improvement:Collaborate with Data Engineering, Architecture, Infrastructure, and IT teams to deploy solutions into production environments.Develop testing strategies, implementation plans, deployment documentation, and success metrics.Monitor solution performance, business outcomes, and adoption.Continuously refine and improve solutions using stakeholder feedback and performance data.Create training materials and support organizational adoption efforts.Facilitate knowledge transfer and long-term sustainability activities.Innovative & Practice Development:Contribute to the growth and maturity of the organization's AI capabilities, standards, and methodologies.Create reusable assets, frameworks, implementation patterns, and best practices.Share lessons learned and successful approaches across teams.Actively explore emerging AI technologies, techniques, and business applications.Serve as a champion for responsible experimentation, innovation, and continuous learning.Bank Secrecy Act: Remains cognizant of and adheres to Wings policies and procedures, and regulations pertaining to the Bank Secrecy Act.