1 day ago
Chantilly, VA, USAStaff+
Responsibilities
- Lead technical go-to-market strategies for AI software solutions serving intelligence community customers.
- Define architectural frameworks for shared software platforms, data integration libraries, and multi-tenant cloud and hybrid-cloud environments.
- Engage customer stakeholders to understand mission requirements and translate them into viable technical solutions.
- Partner with business development and program leadership on capture, proposal development, and technical approaches.
- Contribute to and review technical proposals, white papers, and solution briefs.
- Identify emerging technologies and assess their applicability to customer missions and target markets.
- Serve as a primary technical spokesperson with customers, at industry events, and in internal strategy discussions.
- Drive alignment across engineering, program management, and business development teams.
- Support pipeline development by identifying opportunities for software and AI capabilities.
- Establish technical standards and best practices for AI solution development and deployment.
- Mentor engineering staff and provide technical guidance across programs and pursuits.
- Evaluate and integrate complementary capabilities from partners and vendors.
- Advise senior leadership on long-range technical strategy, investment priorities, and capability development.
- Assess competitor technical approaches and market trends.
Requirements
- At least 15 years of experience in systems engineering, software architecture, or a related technical discipline.
- At least 5 years of experience supporting intelligence community customers, with NRO, NGA, or adjacent IC experience strongly preferred.
- Demonstrated leadership of technical strategy and solution architecture for enterprise software platforms in a government contracting environment.
- Experience supporting capture or business development, including technical proposals and go-to-market strategies.
- Experience designing and implementing cloud and hybrid-cloud solutions, multi-tenant architectures, and enterprise-scale data integration frameworks.
- Experience with AI and machine learning platforms in operational or demonstration contexts.
- Deep understanding of AWS, Azure, or equivalent intelligence community cloud environments.
- Background in data integration, data pipeline architecture, and software library development.
- Familiarity with DevSecOps practices, modern software delivery frameworks, containerization, microservices, and platform engineering concepts.
- Understanding of intelligence community data standards, architectures, and mission systems relevant to NRO and NGA operations.
- Ability to communicate complex technical concepts to technical and non-technical audiences, including senior government customers and executives.
- Ability to work independently, drive decisions with limited oversight, and provide technical direction to engineering teams.
- Bachelor's degree in computer science, systems engineering, or a related technical field required; an advanced degree is preferred.
- Active TS/SCI clearance required, with willingness to support additional accesses as needed.
- Relevant certifications in cloud architecture, AI, or systems engineering are a plus, with demonstrated experience accepted in lieu of certifications.
About SAIC
SAIC (Science Applications International Corporation) is a government technology integrator delivering systems engineering, enterprise IT, secure cloud, cybersecurity, C5ISR, and data analytics for U.S. defense, space, intelligence, and civilian agencies. It builds and sustains mission IT and digital engineering solutions under multi-year federal contracts and task orders. Founded in 1969, SAIC is headquartered in Reston, Virginia, and is a public company traded on the NYSE under the ticker SAIC.