AI Systems Integration Engineer-Senior

At NetSage, we are more than a government contractor—we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page. Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact. Job Description: We are seeking a Senior Artificial Intelligence (AI) Systems Integration Engineer to lead the integration and sustainment of an advanced knowledge management platform that leverages AI-driven automation to enhance mission operations. In this role, you will define system architecture, oversee integration efforts, manage deployment strategies, and ensure the delivery of secure, reliable, and scalable capabilities. The ideal candidate for this position will have extensive systems engineering experience, a strong understanding of software development and integration practices, and the ability to coordinate tasks across technical teams throughout the system development lifecycle. Please consider applying if you meet the following qualifications. Required Qualifications: TS/SCI with polygraph security clearance. A Bachelor of Science (B.S.) degree in Systems Engineering or a related field and nine (9) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and five (5) years or a Master of Science (M.S.) degree and seven (7) years of relevant experience. Experience leading the integration of AI-enabled systems, knowledge management platforms, or automation initiatives. Experience with Agile software development methodologies and CI/CD pipelines. Strong understanding of systems integration, software architecture, and the system development lifecycle. Strong understanding of systems validation, verification, testing, and lifecycle sustainment processes.