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Wings Credit Union

AI Solutions Engineer

Colorado Springs, CO, United States

$108,000 to $126,000 USD / year

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Job details

Pay: $108,000 to $126,000 USD / year
Education: Master’s degree
Posting language: English
Posted: Nov 9, 2026

Original job description

Company Description Due to the on-site requirements of this role, preference will be given to candidates currently residing in Colorado. This position is not eligible for full-time remote work. Relocation assistance is not provided. Ent Credit Union and Wings Credit Union joined forces in January 2026. This merger means more opportunities, expanded resources, and a shared commitment to delivering exceptional member service. Together, we become more - empowering members, communities, and teams through a bold, unified future. Both organizations bring a strong legacy of member satisfaction, operational excellence, financial stability, and community impact. Recognized locally and nationally as best-in-class financial institutions and employers of choice, each is known for its commitment to financial well-being and philanthropic leadership. Join us during this transformative time and be part of shaping the future of banking! To learn more about the merger, click here.

Job Description

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 Functions

Opportunity 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 problems
Develop 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.

Qualifications

Minimum Formal Qualifications for this Position:

Master's Degree in a scientific/engineering discipline such as computer science, data science, statistics, mathematics, engineering, artificial intelligence, physics, operations research or a related field, required
Equivalent combinations of education, technical training, and demonstrated experience delivering analytical or technology enabled solutions may be considered in lieu of degree requirements
3+ years or experiencing solving business problems through technology, analytics, process improvement, operations, software development, consulting, or related disciplines, required
Experience working with AI, automation, or technology-enabled business solutions, required
Experience within financial services, credit unions, banking, lending, risk management, compliance, operations or similar regulated industries, preferred

Technical or Specialized Knowledge/Skills:

Strong business analysis, problem solving and critical thinking abilities.
Ability to understand complex business processes and identify opportunities for improvement.
Demonstrated ability to translate business challenges into practical and scalable solutions.
Excellent written, verbal, facilitation, and presentation communication skills.
Demonstrated ability to work effectively across business and technical teams.
Strong organizational skills and ability to manage multiple initiatives simultaneously.
Proven record of self-directed learning, experimentation, and application of emerging technologies.
Strong systems thinking mindset with the ability to connect business strategy, process design, data, and technology.
Ability to evaluate multiple solution paths and determine the most effective approach rather than defaulting to a specific tool or technology.
Intellectual curiosity and a passion for understanding how businesses operate and how they can improve.
Strong governance, risk, and control awareness.
Experience using a variety of AI platforms and tools with a commitment to continuous learning.
Exposure to data analytics technologies including SQL, PowerBI, Tableau, Excel or similar tools preferred.
Experience with Microsoft Azure AI, Microsoft CoPilot, OpenAI, Anthropic technologies, automation platforms, APIs, workflow orchestration tools, or cloud based services preferred.
Familiarity with software development lifecycle (SDLC), Agile, or product delivery methodologies preferred.
Understanding of governance, audit, compliance, regulatory, or operational risk frameworks preferred.

Additional Information PAY RANGE: $108,000 to $126,000 annually (I16) plus a 15% annual target bonus

Final compensation for this position will be determined by various factors such as relevant work experience, specific skills and competencies, education, certifications, location and internal pay equity.

BENEFITS:

Generous 401(k) match
401k Discretionary Profit Sharing
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Short Term and Long Term Disability
Health Savings Account with company contribution
Employee Assistance Program
Paid Vacation, Sick, Floating Holidays and Volunteer Time Off
Paid Holidays
Tuition Reimbursement
Paid Parental Leave

We anticipate this position to close on 11/12/2026. Please submit your application at your earliest convenience to be considered.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

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More about this job

Skills

Artificial intelligence
Decision making
Problem solving
Risk management
Process improvement
Prioritization
Design prototypes
Machine learning
Workflow
Documentation
Regulatory compliance
Cybersecurity
Auditing
Change management
Data engineering
Create training materials
Computer science
Statistics
Research
Software development
Business analysis
Critical thinking
Business processes
Communication skills
Organizational skills
Systems thinking
Design process
Data analysis
SQL
Microsoft Power BI
Tableau
Microsoft Excel
Microsoft Azure
Agile

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