Senior AI Solutions Engineer

Data Systems Analysts • Philadelphia, PA

1d

About The Position

The Senior AI Solutions Engineer is part of DSA’s Technology & Innovation Office and works directly with DSA departments and Defense, Intelligence Community, and Federal Civilian customer teams. The role identifies, designs, builds, and deploys AI agents, intelligent automation, and agentic workflows to improve mission and business outcomes. It bridges business and mission needs with DSA’s AI and Digital Transformation capabilities by understanding stakeholder processes and pain points, rapidly prototyping solutions, integrating AI with enterprise systems and data, and moving successful solutions into secure, governed operational use.

The position initially uses Microsoft Copilot Studio, Microsoft Power Platform, Microsoft 365, and related technologies, while expanding to other approved AI, agentic, and development platforms as DSA’s capabilities mature. Success is measured by delivered solutions, user adoption, measurable operational improvement, and reuse and scalability across DSA and its customers.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Engineering, or a related technical discipline, or an equivalent combination of education and relevant practical experience.
• 10+ years of progressive IT experience in software development, systems integration, workflow automation, enterprise applications, solutions engineering, or related disciplines.
• Recent hands-on experience designing or developing solutions using generative AI, large language model (LLM)-based tools, intelligent automation, or agentic technologies.
• Hands-on experience with Microsoft Copilot Studio and/or Microsoft Power Platform, including Power Automate or Power Apps, and familiarity with Microsoft 365 and SharePoint.
• Working knowledge of generative AI concepts, including prompt and context design, retrieval and knowledge grounding, agent tool use, orchestration, and solution evaluation.
• Experience using Python and/or JavaScript, SQL, REST APIs, and integration or connector technologies.
• Experience integrating applications, data sources, APIs, or enterprise systems to deliver operational solutions.
• Ability to translate business or mission problems into practical technical solutions and measurable outcomes.
• Understanding of identity, access control, data protection, privacy, human-in-the-loop controls, and AI governance considerations.
• Strong communication skills and ability to work directly with technical and non-technical stakeholders.
• Ability to independently learn and apply emerging technologies in a rapidly changing technical environment.
• All hired employees are expected to have experience with Microsoft Copilot and/or an approved equivalent AI solution.

Nice To Haves

• Experience with additional AI and agentic development platforms such as Azure AI Foundry, OpenAI technologies, Anthropic Claude, Google AI technologies, and Model Context Protocol (MCP)-based integrations.
• Experience developing AI-enabled solutions supporting GovCon, Department of Defense, Intelligence Community, Federal Civilian, or other regulated environments.
• Experience automating business processes in areas such as capture and proposals, contracts, finance, human resources, acquisition, knowledge management, or program operations.
• Experience with automation and integration technologies such as UiPath, Azure Logic Apps, or comparable tools.
• Experience transitioning prototypes into production and supporting ongoing operation, adoption, and improvement.
• Experience training users and supporting organizational adoption of new technologies.
• Microsoft Power Platform or Azure AI certifications, such as PL-200, PL-400, or an applicable Azure AI credential.
• CompTIA Security+ CE.
• Active Secret security clearance or the ability to obtain and maintain one.

Responsibilities

• Partner with DSA departments and customer teams to identify high-value AI and automation opportunities and understand current processes, pain points, data, systems, and operational constraints.
• Evaluate and prioritize use cases based on mission or business value, feasibility, security, data availability, implementation effort, and risk.
• Translate business and mission needs into solution designs, technical requirements, prototypes, backlog items, implementation plans, and measurable success criteria.
• Identify opportunities to reuse solutions, patterns, connectors, agents, and components across departments and customer environments.
• Design, build, configure, test, and deploy AI agents and agentic workflows using Microsoft Copilot Studio, Power Automate, Power Apps, SharePoint, and other approved AI and automation technologies.
• Develop agent instructions, knowledge grounding, retrieval approaches, tool integrations, custom connectors, and human-in-the-loop workflows.
• Integrate AI capabilities with enterprise applications, APIs, data sources, and operational systems.
• Rapidly prototype and demonstrate solutions with stakeholders, using feedback to iteratively improve functionality and usability.
• Develop maintainable and reusable solution components where practical.
• Develop evaluation criteria and test sets to validate agent accuracy, reliability, security, usability, and expected outcomes before deployment and after significant changes.
• Implement responsible AI practices, including appropriate human oversight, data protection, identity and access controls, auditability, and governance.
• Work with IT, cybersecurity, data owners, and customer stakeholders to ensure solutions operate within authorized environments and approved data boundaries.
• Identify technical, security, operational, and adoption risks and incorporate mitigations into solution designs.
• Support deployment and transition of successful prototypes into sustainable operational solutions.
• Develop user guidance, demonstrations, training, and other enablement materials to drive adoption.
• Monitor user feedback, adoption, solution performance, and business or mission outcomes following deployment.
• Continuously refine deployed solutions based on operational use, changing requirements, and technology capabilities.
• Help quantify productivity improvements, cost avoidance, cycle-time reduction, quality improvements, and other measurable outcomes generated by AI solutions.
• Evaluate emerging AI, agentic, automation, and integration technologies through practical experimentation and prototyping.
• Recommend technologies and approaches with clear business or mission applications.
• Contribute reusable patterns, lessons learned, demonstrations, and technical assets to DSA’s broader AI and Digital Transformation capabilities.
• Support internal demonstrations and customer-facing discussions showcasing practical applications of DSA’s AI capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior