Ph3AI Solutions Engineer /h3 pstrongDepartment: /strongIT Development/Support /p pstrongEmployment Type: /strongFull Time /p pstrongLocation: /strongMilan 4905 /p pstrongReporting To: /strongCory Shounick /p pstrongCompensation: /strong$90,000 - $110,000 / year /p h3Description /h3 pThe 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. /p pYou 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. /p h3Key Responsibilities /h3 pstrongEssential Functions: /strong /p ul liRequirements Translation Architecture: Partners with business units (Finance, Sales, Ops) to translate vague operational problems into concrete technical requirements and architected solutions. /li liBuild 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. /li liSystem 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. /li liAdoption 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. /li liOptimization: Monitors the performance of deployed AI agents, establishing KPIs to track effectiveness and proactively identifying areas for optimization. /li liGovernance: Contributes to the documentation and refinement of company-wide AI policy, ethical guidelines, and best practices. /li liContinuous Improvement: Stays current with the roadmap for Copilot Studio and Azure AI services to continuously improve development techniques and suggest new automation opportunities. /li /ul pstrongPosition type /strong /p ul liFull time /li /ul pstrongExpected hours of work: /strong /p ul liMonday-Friday /li /ul pstrongTravel /strong: /p ul liBased on business need but very infrequent /li /ul h3Job Qualifications /h3 pstrongEducation/Certifications: /strong /p ul liBachelor’s degree or equivalent experience in Computer Science, Data Science, Information Systems, or a related quantitative field. /li /ul pstrongExperience: /strong /p ul li2+ years of demonstrable, hands-on experience architecting, developing, deploying, and monitoring AI applications in a professional environment. /li liProven, 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. /li /ul pstrongSkills and Qualifications: /strong /p ul liProcess Automation Mindset: Ability to visualize complex business workflows and identify opportunities to automate them using AI tools. /li liConsultative Communication: Strong ability to explain complex technical concepts to non-technical stakeholders and manage project expectations effectively. /li liIntegration Proficiency: Strong proficiency in integrating AI solutions with enterprise systems, APIs, and diverse data sources. /li liERP Familiarity: Direct experience with ERP systems (Microsoft Dynamics 365 preferred) is a significant advantage. /li /ul pstrongPreferred Skills and Qualifications: /strong /p ul liHands-on experience with: ul liIntegration of AI agents with ERP systems such as Microsoft Dynamics 365 Finance Operations, internal databases, and/or financial data sources. /li liSoftware Development in languages such as Python, C#, or JavaScript for custom AI extensions and model training. /li liAzure AI services, including Cognitive Services, Azure OpenAI, and Responsible AI frameworks addressing governance and bias mitigation. /li /ul /li liIntellectual Curiosity Drive: A demonstrable passion for AI, evidenced by personal projects, contributions to open-source communities, or continuous learning in adjacent fields (e.g., other cloud AI platforms, open-source models). You are a builder and a learner at heart. /li liRelevant certifications such as Microsoft Certified: Azure AI Engineer Associate, Power Platform Functional Consultant, or other relevant certifications. /li /ul pstrongPhysical Requirements /strong : N/A /p pDisclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. /p h3Benefits /h3 ul liMedical, Dental, Vision, and Life Insurance /li liFlexible Spending Accounts (Medical and Dependent Care) /li li401(k) Plan with Company Match /li liGenerous Paid Time Off /li li10.5 Paid Holidays /li liCareer Development Opportunities /li /ul /p #J-18808-Ljbffr