AI Solutions Engineer

Role Overview

• Design, build, and implement AI agents using low-code platforms such as Copilot Studio, with a strong focus on prompt engineering and conversational design.
• Research novel low/no-code platforms and design, document, and disseminate best practices for agentic development using low/no-code platforms.
• Create and maintain comprehensive technical documentation for all AI agents, including instruction sets, integration maps, security compliance documentation, testing procedures, troubleshooting guides, and user guides to ensure knowledge transfer and long-term sustainability.
• Maintain and support the existing AI agent fleet, including instruction set refinements, knowledge source updates, security group management, performance optimization, and production incident response.
• Conduct UAT coordination, quarterly business reviews, and implement rollback procedures when needed.
• Participate in the full solution lifecycle, including solution design, build, testing, implementation, and post-launch support.
• Integrate AI agents with enterprise data sources using Power Platform connectors, Power Automate Flows, agent-to-agent calling, Model Context Protocol (MCP), and API-based integrations where appropriate.
• Configure and manage security controls including O365 security groups, multi-tier access models (SharePoint + security group), PII redaction logic, and data classification compliance.
• Ensure agents meet internal security and privacy requirements for handling confidential employee data.
• Partner with product owners and business stakeholders during discovery and intake phases to help define use cases, assess complexity, and set realistic expectations.
• Advise teams on data integrity, documentation structure, and knowledge readiness to ensure content is suitable for AI-driven solutions.
• Provide guidance on how to structure documentation and knowledge assets for effective AI consumption.
• Help the business understand that strong AI outcomes depend on strong data practices, and coach teams on how to improve inputs.
• Contribute to the development of repeatable patterns, templates, and best practices to accelerate future agent builds.
• Measure success through adoption, usage, and business impact rather than just delivery.

Requirements

• Experience building solutions on low-code or no-code platforms.
• Expert-level proficiency in Microsoft Copilot Studio, including custom topic flows, variable management, 'new prompt' action orchestration, file upload handling, and multi-step conversation design.
• Strong understanding of prompt engineering and conversational AI concepts.
• Experience with Python scripting, YAML configuration, and AWS cloud services for automation and integration workflows.
• Working knowledge of Power Automate for building flows that integrate with AI agents, including document generation, data manipulation, and cross-system orchestration.
• Ability to translate business problems into scalable AI-enabled solutions.
• Strong communication skills and comfort working directly with business partners.
• A mindset oriented toward enablement, adoption, and continuous improvement.
• Experience designing and querying structured data tables i.e dataverse or SQL.

Tech Stack

• AWS
• Cloud
• Python
• SQL

Benefits

• Medical
• Prescription Drug
• Dental
• Vision
• Health Savings Account
• Dependent Day Care Savings Account
• Life Insurance
• Disability and Other Insurance Plans
• Paid Time Off (including Vacation and Parental Leave)
• Holidays
• 401(k)
• Short/Long Term Disability