Senior AI Systems Engineer III (TS/SCI + Poly is required)

Aperio Global•Fort Meade, MD

9h•$176,000 - $196,000

About The Position

Aperio Global is seeking a Senior AI System Engineer to support the Technology & Tradecraft Integration mission. The Engineer will collaborate with mission stakeholders to design, integrate, and implement advanced AI-enabled solutions, ensuring scalable, secure, and mission-focused system architectures. This role requires expertise in systems engineering, cloud technologies, data pipelines, analytics, and modern AI capabilities, including Agentic AI workflows and natural language interfaces. The company emphasizes a team-oriented approach to high-impact work in national security and technology, focusing on solving complex problems with intellectual honesty and transparency. They have a diverse team of tech innovators, Intelligence Community veterans, and security professionals who value collaboration and diverse perspectives. Aperio Global has a track record of building solutions in areas like full-spectrum cyber operations, de-biased AI platforms, quantum networking, and cloud-native software systems.

Requirements

Active TS/SCI with Polygraph required
Bachelor's degree plus 9-years of relevant experience or equivalent
Proficiency with object-oriented languages (JAVA, Python, JavaScript)
Experience with Jupyter Notebooks
Experience with GHOSTMACHINE
Experience with data visualization platforms
Experience with generative AI
Experience with LLM
Experience with RAG
Experience with Neo4j
Experience with AWS (Lambda, EC2, ECS/EKS, SAGEMAKER, S3, RDS, OpenSearch)

Responsibilities

Collaborate closely with customers to design and implement AI-enabled solutions that support data-driven decision-making, operational effectiveness, and mission success.
Integrate advanced analytics, Agentic AI workflows, cloud technologies, and knowledge management capabilities to transform complex data into actionable intelligence.
Align technical architectures and system capabilities with evolving mission requirements while ensuring scalability, reliability, and user adoption.
Analyze complex problems and develop scalable AI-enabled system architectures that align with mission and business objectives.
Translate conceptual designs into detailed technical specifications while applying systems engineering principles to evaluate system-wide impacts, dependencies, and performance.
Design and implement Agentic AI workflow automations for data pipelines, research, analysis, and reporting.
Develop intuitive natural language interfaces to knowledge graphs.
Proficient in AWS cloud services, data migration to AWS-hosted databases, advanced analytics, statistical analysis, and the visualization of data science insights to support informed decision-making.