• Own end-to-end architecture for the engagement, from agent orchestration through data integration to deployment • Define architectural standards and ensure consistency across backend, UI, data, and infrastructure layers • Set long-term technical direction in coordination with the Delivery Lead • Design for multi-tenant deployment and repeatable team onboarding • Maintain architectural decision records and standards documentation • Architect the engagement’s cloud environment across identity, networking, compute, storage, and monitoring • Drive adoption of CI/CD, infrastructure-as-code, and evaluation-in-pipeline for LLM components • Review and contribute to agent orchestration, tool integrations, and retrieval pipelines • Mentor engineers on agentic AI patterns, Microsoft platform conventions, and architectural reasoning

Support sales teams by providing technical solutions and presentations, build relationships with customers to align offerings with their needs, and facilitate communication to drive revenue growth through innovative architectures and solutions.

• Lead, coach, and develop a team of Solutions Engineers • Partner closely with Sales leadership to improve win rates • Establish and reinforce best practices across discovery, demos, and technical validation • Own the demo environment strategy • Stay hands-on with strategic and high-value deals • Collaborate with Product and Engineering to ensure customer feedback is reflected

• This position is contingent upon contract award • Support mission requirements for developing, integrating, and sustaining a scalable, federated data ecosystem • Enhance interoperability, governance, and mission-driven analytics for a DoD customer • Bridge operational gaps between DoD, IC, interagency, and international partners for real-time information sharing • Design, implement, and maintain geospatial data visualization solutions that integrate with cloud-based platforms • Develop operational dashboards leveraging GIS tools such as ESRI ArcGIS, QGIS, and open-source geospatial platforms • Optimize geospatial data layers for real-time analytics and information sharing • Oversee the integration of geospatial AI/ML models, ensuring accuracy with mission requirements • Provide the Geospatial Data & Dashboard Integration Report, detailing enhancements and user engagement metrics