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AI Solutions Engineer (Power Platform)
Marco Technologies LLC
Remote, USA
Full-time
Mid · 3+ years experience
Remote
USD 109855-175768 yearly / year
Discovered 1 weeks ago
Microsoft Power PlatformMicrosoft 365PythonAPIsSDKs
Free
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Microsoft Power PlatformMicrosoft 365Python
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Microsoft Power PlatformMicrosoft 365PythonAPIsSDKs
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Location Type
- Full Remote
- The AI Solutions Engineer is a hands-on technical role focused on building, deploying, and supporting AI-driven solutions, including AI and Digital Employee offerings, that address real-world client and internal business needs. Operating at the intersection of emerging AI technologies and practical implementation, this role is responsible for executing on defined solution architectures, developing proof-of-concept and production-ready systems, and integrating AI capabilities into scalable, supportable environments. This individual works closely with Innovation leadership, AI Architects, engineering, and customer-facing teams to bring AI solutions to life. Responsibilities include building agent-based systems, implementing automation workflows, supporting client engagements, and contributing to the delivery of commercially viable AI services.
ESSENTIAL FUNCTIONS
Develop and support AI-based managed services and Digital Employee offerings from prototype through production deployment - building and deploying AI Employees that perform real work across business functions, not demos or prototypes, but systems used in production.
Engineer agentic systems with memory, tools, and orchestration, working alongside architects to bring advanced AI designs to life.
Design, build, and support low-code and no-code business solutions using Power Apps, Power Automate, Dataverse, and Microsoft 365 services to streamline business processes and improve user experiences.
Help define the future Digital Workforce platform, delivering solutions both internally at Marco and externally as client-facing services.
Build and implement AI-driven solutions with a focus on LLMs, generative AI, AI agents, and automation platforms from leading providers.
Execute on defined solution architectures by developing, integrating, and deploying AI systems in real-world environments.
Design and deliver proof-of-concept implementations to validate AI use cases, technical feasibility, and business value.
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