Senior .Net AI Software Engineer

Role: Senior .Net AI Software Engineer Location: Deerfield Beach, FL (Hybrid) Duration: 12+ months Manager Notes: Sr AI & Automation Engineer with executive presence. This is a SOFTWARE ENGINEER JOB WITH .NET and HAVE SOME AUTOMATION AND AI. THE SOFTWARE ENGINEERING IS MORE IMPORTANT THAN STRONG AI. MUST HAVE TOP NOTCH COMM SKILLS TO INTERACT WITH EXEC’S. Hybrid 3/2 hybrid Deerfield. · KEY TO THIS JOB: A software engineer (doesn't really matter what language but .NET is in the environment and ideal). Power Platform a big plus.—Key is to send someone that has done some automation and AI engineering recently. · They are going to build solutions for the execs at JM&A with the parts and warranty data. · Need to be able to rely on this resource to interact directly with executives · very strong business acumen · One candid note to help you target the search. The Job Description leans heavily on AI, and that framing matters on our side, but the real need is a strong general software developer. The AI tooling (Power Automate, Power Apps, Copilot Studio, Copilot endpoints) sits on top of solid engineering: REST APIs, custom connectors, webhooks, and full lifecycle ownership. A good developer picks up the AI layer quickly; the reverse is much harder. · So when screening, weight engineering depth over AI buzzwords. Particulars: 5–8 years building production solutions; Summary: Senior engineer responsible for designing, building, and operating AI and automation solutions that streamline high-volume operational work across the enterprise. Reporting & Alignment: · Reports into the Automation / AI Team. · Product-led prioritization aligned to enterprise roadmaps. · Engineering accountability for delivery; business accountability for adoption. Job Description: The Senior AI & Automation Engineer designs, builds, and operates AI-enabled automation solutions using Power Automate, Power Apps, Copilot Studio, and Copilot endpoints integrated with internal APIs. The engineer applies practical prompt-engineering techniques, to include clear instructions, structured I/O, grounding on enterprise data, and explicit guardrails, to keep AI behavior reliable and free of hallucination. The role owns solutions end-to-end: design, build, test, deploy, document, and support. Key Responsibilities: · Identify and scope automation opportunities across enterprise operations. · Design and build Power Automate flows, Power Apps, and Copilot Studio agents. · Integrate solutions via REST APIs, custom connectors, webhooks, and Copilot endpoints. · Develop prescriptive prompts and agent instructions with structured outputs and guardrails. · Own testing, validation, deployment, monitoring, and production support. · Produce and maintain technical documentation and runbooks. · Build reporting on performance, adoption, exceptions, and realized value. · Maintain alignment with enterprise AI, security, risk, and quality standards. Minimum Qualifications: · 5–8 years building production automation and AI-enabled solutions. · Hands-on Power Automate and Power Apps development in production. · Systems integration via REST APIs, custom connectors, or webhooks. · Experience using Copilot, Copilot Studio, or other LLM/AI endpoints. · Working knowledge of prompt engineering for production use cases. · Full engineering lifecycle ownership: design, build, test, deploy, document, support. · Bachelor's degree in a relevant field or equivalent experience. · Ability to manage multiple initiatives and work independently across business and tech teams. · Effective communication with business analysts, users, and non-senior leaders. Preferred Qualifications: · Software development experience is a plus. · Familiarity with building rulesets for a knowledge repository (RAG) · Ability to build in Power BI, DAX, and/or SQL independently. · Agile (Scrum or Kanban) experience. · AI Builder, Power Automate Desktop (RPA), Dataverse, or ADF experience. · Scripting in PowerShell, Python, or JavaScript. · Familiarity with Entra ID, OAuth, or service principals.