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AI Solutions Engineer

Job in Milan, Rock Island County, Illinois, 61264, USA
Listing for: Group O
Full Time position
Listed on 2026-01-19
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below

AI Solutions Engineer

Position Title: AI Solutions Engineer

Location: Milan 4905

Department: IT Development/Support

Employment Type: Full Time

Workplace Type: Hybrid

Reporting To: Cory Shounick

Compensation: $90,000 - $110,000 / year

The AI Solutions Engineer is a hands‑on technical lead responsible for architecting, building, and deploying AI agents and automated workflows. Unlike a pure back‑end developer, this role bridges the gap between business strategy and technical execution. Reporting to the Director of Competitive Intelligence, you will partner directly with business units to translate manual pain points into scalable, agentic workflows using Microsoft Copilot Studio and Azure AI.

You will not be inheriting a legacy system; you will be the primary builder of our foundational AI infrastructure, constructing the future from the ground up. If you are a technical problem‑solver who possesses the communication skills to drive adoption and wants a role where you can see the direct business impact of your work, this is your chance to grow with us.

Key Responsibilities
  • Requirements Translation & Architecture:
    Partners with business units (Finance, Sales, Ops) to translate vague operational problems into concrete technical requirements and architected solutions.
  • Build & Deploy:
    Architects, prototypes, develops, and deploys supervised agentic workflows and AI tools using Microsoft Copilot Studio, Power Automate, and Azure AI, ensuring solutions are robust and scalable.
  • System Integration:
    Leads the technical integration of AI agents with enterprise systems, specifically Microsoft Dynamics 365 and internal databases, to ensure seamless data flow and process automation.
  • Adoption & Training:
    Serves as the Subject Matter Expert (SME) for agentic AI, driving user adoption by leading technical demonstrations and creating clear documentation for non‑technical stakeholders.
  • Optimization:
    Monitors the performance of deployed AI agents, establishing KPIs to track effectiveness and proactively identifying areas for optimization.
  • Governance:
    Contributes to the documentation and refinement of company‑wide AI policy, ethical guidelines, and best practices.
  • Continuous Improvement:
    Stays current with the roadmap for Copilot Studio and Azure AI services to continuously improve development techniques and suggest new automation opportunities.
Position type
  • Full time
Expected hours of work
  • Monday-Friday
Travel
  • Based on business need but very infrequent
Job Qualifications Education/Certifications
  • Bachelor’s degree or equivalent experience in Computer Science, Data Science, Information Systems, or a related quantitative field.
Experience
  • 2+ years of demonstrable, hands‑on experience architecting, developing, deploying, and monitoring AI applications in a professional environment.
  • Proven, practical experience building end‑to‑end AI solutions with Microsoft Copilot Studio, the Microsoft Power Platform (Power Automate, Power Apps), Azure (AI Studio/Logic Apps), or equivalent software.
Skills and Qualifications
  • Process Automation Mindset:
    Ability to visualize complex business workflows and identify opportunities to automate them using AI tools.
  • Consultative Communication:
    Strong ability to explain complex technical concepts to non‑technical stakeholders and manage project expectations effectively.
  • Integration Proficiency:
    Strong proficiency in integrating AI solutions with enterprise systems, APIs, and diverse data sources.
  • ERP Familiarity:
    Direct experience with ERP systems (Microsoft Dynamics 365 preferred) is a significant advantage.
Preferred

Skills and Qualifications
  • Hands‑on experience with:
    • Integration of AI agents with ERP systems such as Microsoft Dynamics 365 Finance & Operations, internal databases, and/or financial data sources.
    • Software Development in languages such as Python, C#, or JavaScript for custom AI extensions and model training.
    • Azure AI services, including Cognitive Services, Azure OpenAI, and Responsible AI frameworks addressing governance and bias mitigation.
  • Intellectual Curiosity & Drive: A demonstrable passion for AI, evidenced by personal projects, contributions to open‑source communities, or continuous learning in…
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