Join to apply for the NGA AI / ML Architect role at TekSynap
The AI / ML Architect will be responsible for end-to-end operationalization of machine learning models within a secure, agentic AI framework and the NGA enterprise. Some specific tasks will include :
- Refine the end-to-end agentic systems architecture, spanning orchestration, messaging, reasoning, validation, and governance.
- Set technical direction for multi-agent frameworks and ensure alignment with NGA CORE, AGAIM, GREAT, and FedRAMP / NIST compliance frameworks.
- Drive adoption of standardized protocols (FIPA ACL, KQML) and event-driven architectures (AWS EventBridge) for agent-to-agent (A2A) coordination.
- Oversee the reference architecture for models, constraint-handling, and human-in-the-loop (HITL) checkpoints.
- Ensure secure, auditable collaboration between agents using Model Context Protocol (MCP).
- Architect traceability-by-design, enabling telemetry capture (logs, metrics, decisions, outcomes) into compliance dashboards.
- Lead alignment of the architecture with NGA governance standards, ATO readiness, and IC / DoD data assurance requirements.
- Technical Leadership of cross-functional teams of AI / ML engineers, data scientists, MLOps, and QA in delivering integrated agentic systems.
- Mentor technical staff, establish architecture review boards, and enforce coding, testing, and compliance standards.
- Engage directly with NGA, DoD, and mission stakeholders to translate requirements into architectural roadmaps.
- Serve as the principle technical advisor during design reviews, proposal development, and industry engagements.
Required Qualifications
Active TS security clearance, CI Poly eligible3+ years of experience designing, training, validating, and deploying ML models (especially computer vision, geospatial analytics, or time-series)Experience supporting NGA. Knowledge of NGA architectures at enterprise, system and program levelsProficiency in Python, PyTorch / TensorFlow, and ML lifecycle tools (MLflow, Kubeflow, Airflow)Experience building data / model ingestion pipelines, metadata registries, and automated scoring / benchmarking frameworksFamiliarity with containerized deployment (Docker / Kubernetes), REST APIs, and distributed architectures (e.g., AWS EventBridge).Working knowledge of model governance, explainable AI (XAI) methods, and regulatory / compliance constraints for AI in secure environmentsPreferred Qualifications
Master's or Ph.D. in AI / ML, Data Science, or related fieldExperience implementing :Drift detection algorithms and active retraining loopsReporter agents and automated reporting dashboardsClosed-loop validation pipelines with feedback from human analystsFamiliarity with Model Context Protocol (MCP), Agent-to-Agent (A2A) communications, and multi-agent orchestration frameworksExperience with geospatial / imagery data and NGA tradecraftOverview
We are seeking an NGA AI / ML Architect to support National Geospatial-Intelligence Agency (NGA) Artificial Intelligence (AI) efforts. This architect / engineer will play an important role on a team creating technical solutions for multiple AI challenge, by leveraging deep technical skills with a knowledge of the NGA architecture at enterprise, system and program levels.
TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment.
We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays.
Work Environment and Physical Demands
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Location : Reston, Virginia and / or remote. Occasional travel within the National Capital Region (NCR)Type of environment : VariesNoise level : LowWork schedule : "Normal work hours" constitute on average 8 hours a day, 40 hours per week (excluding breaks and meal periods) within standard operational hours occurring 0600-1800, Monday-Friday, excluding Federal holidays. May be requested to work evenings and weekends to meet program and contract needs.Amount of Travel : 10%Equal Employment Opportunity
In order to provide equal employment and advancement opportunities to all individuals, employment decisions will be based on merit, qualifications, and abilities. TekSynap does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age, genetic information or any other characteristic protected by law (referred to as "protected status"). This nondiscrimination policy extends to all terms, conditions, and privileges of employment as well as the use of all company facilities, participation in all company-sponsored activities, and all employment actions such as promotions, compensation, benefits, and termination of employment.
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