Senior AI Solutions Engineer

Role overview

Turn business and mission needs into secure AI agents, automated workflows, and integrated solutions that can be adopted in day-to-day operations. The role spans discovery, hands-on prototyping and development, deployment, and ongoing improvement, with success measured by practical outcomes and reuse across teams.

Responsibilities

- Work with stakeholders to understand processes, pain points, data, systems, and constraints; assess and prioritize potential AI and automation use cases. - Translate needs into solution designs, technical requirements, prototypes, implementation plans, and measurable success criteria. - Build and integrate agents and workflows using approved AI and automation platforms, enterprise applications, APIs, and data sources. - Test solutions for accuracy, reliability, usability, security, and expected outcomes; apply appropriate access controls, data protections, human oversight, and governance. - Move successful prototypes into operational use, support adoption with demonstrations and guidance, and refine solutions using feedback and performance measures. - Evaluate emerging technologies and develop reusable components, patterns, and lessons that support future work.

Requirements

- A relevant technical degree or equivalent practical experience, plus at least 10 years in software, systems integration, automation, enterprise applications, or related work. - Recent hands-on experience with generative AI, language-model tools, intelligent automation, or agentic systems. - Experience with Copilot Studio or Power Platform, including Power Automate or Power Apps, and familiarity with Microsoft 365 and SharePoint. - Working knowledge of prompting and context design, retrieval and knowledge grounding, agent tools, orchestration, and solution evaluation. - Experience with Python or JavaScript, SQL, REST APIs, and enterprise integrations; able to turn business or mission needs into measurable technical solutions. - Understanding of identity and access controls, data protection, privacy, human oversight, and AI governance; strong communication with technical and non-technical partners.

Nice to have

Experience with other AI platforms, regulated or government environments, business-process automation, or taking prototypes into sustained production. Power Platform or AI certifications, Security+ CE, and an active or obtainable Secret clearance are also noted.