AI Systems 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 Engineer to design and deliver innovative AI-enabled solutions to enhance mission operations and decision making. In this role, you will architect, integrate, and deploy scalable systems that leverage artificial intelligence, cloud technologies, advanced analytics, and modern data architectures to solve complex operational challenges. The ideal candidate for this position will have a strong systems engineering background with expertise in AI technologies including Agentic AI workflows automation and natural language interfaces. 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. Strong proficiency in object-oriented programming languages, including Java, Python, and JavaScript. Experience developing AI-enabled applications using large language models (LLMs), retrieval-augmented generation (RAG), and generative AI technologies. Experience with Neo4j graph databases and Jupyter Notebooks. Experience building applications and services within AWS, including Lambda, EC2, ECS/EKS, SageMaker, S3, RDS, and OpenSearch. Experience designing scalable cloud architectures, integrating enterprise data sources, and implementing modern data pipelines. Familiarity with data visualization tools and techniques for communicating analytical insights. Experience with customer corporate tools and data repositories.