Your role.
Your work will include, but not be limited to:
- Apply AI-assisted development practices across requirements, design, coding, testing, documentation, troubleshooting, and code review.
- Design and develop agentic AI solutions that plan tasks, use approved tools and data, execute multi-step workflows, and adapt to changing conditions.
- Collaborate with internal teams to architect, validate, and implement solutions aligned with requirements, enterprise standards, and established design patterns.
- Write clean, testable React and C# .NET code, including unit tests, and evaluate AI-generated outputs for quality, security, performance, accessibility, and maintainability.
- Build appropriate human oversight, monitoring, auditability, error handling, and fallback mechanisms into AI-driven solutions.
- Partner with architecture, security, data, legal, risk, and business stakeholders to meet responsible AI, governance, and data-protection requirements.
- Develop proof-of-concept applications to assess the feasibility, risk, and business value of innovative AI-SDLC solutions.
- Identify and automate administrative and manual processes using conventional automation, AI-assisted solutions, or agentic workflows.
- Coach developers and vendor partners on prompt engineering, AI-assisted development, agent design patterns, and responsible AI practices.
- Measure and document solution quality, reliability, adoption, and value; maintain technical documentation; troubleshoot concurrent issues; and support continuous improvement.
The qualifications.
- Bachelor’s degree in Computer Science, Information Systems, or a related field is required.
- 5+ years of hands-on experience with modern web applications, enterprise application development platforms, and integrations.
- Required experience with React, C# .NET, SQL, relational databases, data models, and strong coding, debugging, and troubleshooting practices.
- Hands-on experience using AI-assisted development tools, such as GitHub Copilot or comparable technologies, to improve quality and productivity.
- Experience applying agentic AI concepts across the SDLC, including planning, orchestration, tool use, contextual memory, grounding, human-in-the-loop controls, and multi-agent patterns.
- Experience integrating AI capabilities with APIs, enterprise data sources, cloud services, and business applications, and selecting use cases based on risk, complexity, reliability, and value.
- Ability to validate AI-generated code and responses using automated testing, evaluation frameworks, observability, security controls, and responsible AI principles.
- Solid understanding of design patterns, automated unit testing, CI/CD pipelines, pull-request code reviews, API testing tools, and proof-of-concept development.
- Experience with JavaScript, CSS/SCSS, and REST APIs is desired; experience with Azure App Service, Storage, Functions, Logic Apps, Queues, Cloud Services, and Containers is preferred.
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate ideas quickly, clearly, and concisely.
- Occasional local and national travel within the U.S. may be required.
This is an exempt position, so you may have to work hours that exceed the standard 40-hour work week.
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We are pleased to offer eligible staff a robust benefits package. Eligibility and contribution requirements for some of these benefits vary based on the number of hours staff work per week. Highlights include health, dental, vision, disability, and life insurance. In addition to this, eligible staff are able to take advantage of our Flexible Time Off and various pre-determined holidays, as well as a 401(k) plan, flexible benefits plans, business-related travel expense, lodging, and meal reimbursement for business-related use. A pension plan is also available for eligible administrative and paraprofessional staff. A discretionary bonus plan is available for eligible staff. Plante Moran also offers some contingent staff positions the option to elect health insurance in addition to limited paid sick time.
The compensation range reflects the base salary we reasonably expect to pay for this position across our offices in the following regions: CO, IL, OH, and MA. Please review the position description for the applicable geographic location. Generally, experienced hires are not hired at or near the maximum salary range, as compensation decisions take into account a wide variety of factors, including but not limited to: responsibilities, education, experience, knowledge, skills, and geography. For early career roles, including campus hires, we offer standardized, market-based starting salaries among individuals within the same hiring group. This approach ensures fairness and reflects current industry benchmarks for entry-level talent.
Under Colorado’s Job Application Fairness Act, you have the right to redact, from any documents that you submit in connection with your application, information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution. Should you wish to exercise your right to redact such information, please redact it prior to submitting documentation.
The compensation range for this role in CO, IL, OH, and MA is: $97,000-$159,500.
This application window is a good-faith estimate of the time that this posting will remain open. This deadline will be promptly updated if the deadline is extended.
