Senior AI Engineer

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof:

• 2026 Great Places to Work Certified
• Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation)
• Company paid parental leave
• Generous time off package
• Multiple benefit plans , eligibility begins on day one of employment
• Culturally focused on work/life balance, and the overall wellness of our employees

*This is a hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week. This position does not qualify for relocation assistance.

*Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship.

Position Summary

The Senior AI Solutions Engineer leads the design, development, and delivery of AI-driven solutions that support DMA’s business development and operational teams. This role serves as a strategic bridge between clients, business stakeholders, and technical teams, ensuring that AI initiatives are aligned with client needs and organizational goals. The Senior Engineer drives innovation, mentors junior engineers, and contributes to the roadmap for AI integration across the enterprise.

Essential Duties and Responsibilities

• Lead client-facing engagements to understand complex business challenges and translate them into AI solution requirements.
• Architect and oversee the development of AI models, workflows, and integrations tailored to corporate tax and consulting use cases.
• Collaborate with cross-functional teams including product, development, and business operations to ensure successful delivery of AI solutions.
• Communicate technical concepts and solution designs to non-technical stakeholders with clarity and precision.
• Guide the strategic direction of AI initiatives, including roadmap planning, prioritization, and resource allocation.
• Conduct market research and competitive analysis to identify emerging trends in AI applications within tax, finance, and legal domains.
• Ensure AI solutions meet performance, scalability, and compliance standards.
• Manage client feedback loops and lead continuous improvement efforts for deployed AI systems.
• Mentor junior AI engineers and contribute to team development and knowledge sharing.
• Support proposal development and business development efforts with technical expertise and solution design.

Education and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or related field.
• 5+ years of experience in AI solution engineering, including client-facing roles.
• Strong understanding of machine learning, natural language processing, and data analytics.
• Experience with AI platforms, model deployment, and cloud-based infrastructure.
• Proven ability to lead cross-functional projects and deliver scalable AI solutions.
• Excellent communication, stakeholder management, and project leadership skills.
• Familiarity with corporate tax processes or financial services is a plus.
• Experience in consulting or enterprise solution delivery preferred.

Work Environment & Physical Requirements

• Work Schedule : Regular, 40 hours/week
• Environment : Hybrid (2–3 days in-office), environmentally controlled
• Travel : Less than 10%
• Physical Activity :
  • Prolonged periods of sitting and computer use
  • Ability to hear, understand, and distinguish speech and sounds

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The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.

It is DMA's policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at View email address on click.appcast.io or View phone number on click.appcast.io and choosing selection 6.