Remote

Peraton•Reston, VA

4d•Remote

About The Position

Peraton is currently seeking to hire a Sr. Technical Architect (IRAD Technical Lead). Location: Remote (CONUS-based with Remote Work Option) Role: As the Sr. Technical Architect, you will serve as the technical lead for multiple Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE). The position requires deep expertise in large language models, agentic AI workflows, cloud architecture, data integration, and advanced visualization technologies to deliver innovative solutions supporting Combatant Command (COCOM) information operations across CENTCOM, NORTHCOM, INDOPACOM, AFRICOM, and EUCOM. This is a high-visibility role with direct impact on Peraton's competitive positioning. You will: Lead technical architecture and system design for LLM-driven platforms, ensuring alignment with TRL 6 delivery objectives and quarterly milestone schedules. Design and implement agentic LLM architectures leveraging GPT-4, Claude, and Azure OpenAI Service with structured output schemas (JSON/GeoJSON), chain-of-debate methodologies, and Monte Carlo simulation capabilities to generate reliable, standardized outputs. Develop technical specifications for platform interoperability with existing DoW systems including Maven, C2IE, etc., ensuring seamless bi-directional data exchange and export capabilities. Oversee multi-cloud infrastructure architecture on AWS and Microsoft Azure, ensuring FedRAMP IL2-4 compliance, role-based access controls (RBAC), MOT classification handling, and secure API implementations that do not require external LLM searches. Provide technical leadership to development teams, conduct architecture reviews, develop OV-1 and Functional Block Diagram documentation, and ensure adherence to DevSecOps practices throughout the software development lifecycle. Collaborate with COCOM stakeholders and customer champions across five commands to translate operational requirements into technical specifications, support tabletop exercise (TTX) demonstrations, and validate platform capabilities. Drive quarterly milestone delivery aligned with MVP development approach, managing technical risk, coordinating with Business Development champions, and ensuring on-time delivery of IRAD objectives with measurable ROI and man-hours saved metrics. Oversee development of virtual and on-site training programs, user guides, and documentation to support platform adoption across multiple Combatant Commands. Identify and document potential intellectual property (IP), patents, and trade secrets arising from novel LLM prompting techniques, influence mapping algorithms, and visualization methods for abstract concepts. Key Technologies & Platforms: GPT-4, Claude, Azure OpenAI Service, Python, TypeScript, AWS, Microsoft Azure, Plotly, D3.js, Docker, Kubernetes, ServiceNow API, ArcGIS, GeoJSON, JSON Schema, REST APIs, IRIS Platform, Maven, C2IE, OMEGA, Monte Carlo, FedRAMP IL2-4

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related technical field and 12 years of equivalent professional experience.
10+ years of experience in software architecture and systems engineering, with at least 5 years in a technical lead or architect role on complex, multi-system integration projects.
Demonstrated expertise in Large Language Model (LLM) architecture, including hands-on experience with GPT-4, Claude, or equivalent foundation models, prompt engineering, structured output generation, and agentic AI workflows.
Proficiency in cloud architecture and deployment on AWS and Microsoft Azure, including experience with Azure OpenAI Service, FedRAMP-compliant environments, and IL2-4 security requirements.
Strong experience with data integration and ETL/ELT pipeline development, including API integration (REST, ServiceNow), multi-source data orchestration, and data lake architectures.
Proficiency in Python and modern web technologies (JavaScript/TypeScript, React or Vue.js) with experience in advanced visualization libraries (Plotly, D3.js) and interactive dashboard development.
Experience with containerization and orchestration technologies (Docker, Kubernetes) and CI/CD pipeline implementation in DevSecOps environments.
Understanding of geospatial data formats (GeoJSON, KML/KMZ), OGC standards (WMS, WFS), and GIS platforms (ArcGIS) for operational visualization applications.
Experience developing formal architecture documentation including OV-1 diagrams, functional block diagrams, and API specifications.
U.S. citizenship required.
Active Secret clearance required with eligibility for TS/SCI.
Valid U.S. passport required for potential OCONUS travel to customer sites.

Nice To Haves

Master's degree preferred.
Hands-on experience with agentic AI architectures, chain-of-thought/chain-of-debate methodologies, Monte Carlo simulation techniques, and probabilistic modeling for outcome prediction.
Familiarity with DoW visualization and operational platforms such as Maven, C2IE, or similar Common Operating Picture systems.
Experience with IRIS platform, OMEGA systems, or ServiceNow-based operational management tools in defense/intelligence environments.
Background in synthetic data generation, digital twin concepts, simulation environment development, or red team/blue team adversarial testing methodologies.
Experience supporting Combatant Commands (COCOMs) or Joint Staff in technical advisory, solution architect, or systems engineering capacity.
Knowledge of MLOps practices including model deployment, monitoring, performance optimization, A/B testing frameworks, and LLM output validation/verification systems.
Experience with human-in-the-loop (HITL) workflows, curated review and refinement processes, and quality assurance for AI-generated outputs.
Strong communication skills with ability to translate complex technical concepts for senior military and government stakeholders, including experience with customer demonstrations and competitive proposal support.
Experience with Agile/Scrum methodologies, MVP-driven development approaches, and Technology Readiness Level (TRL) progression in R&D environments.
Relevant certifications such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF, or security certifications (CISSP, Security+).

Responsibilities

Lead technical architecture and system design for LLM-driven platforms, ensuring alignment with TRL 6 delivery objectives and quarterly milestone schedules.
Design and implement agentic LLM architectures leveraging GPT-4, Claude, and Azure OpenAI Service with structured output schemas (JSON/GeoJSON), chain-of-debate methodologies, and Monte Carlo simulation capabilities to generate reliable, standardized outputs.
Develop technical specifications for platform interoperability with existing DoW systems including Maven, C2IE, etc., ensuring seamless bi-directional data exchange and export capabilities.
Oversee multi-cloud infrastructure architecture on AWS and Microsoft Azure, ensuring FedRAMP IL2-4 compliance, role-based access controls (RBAC), MOT classification handling, and secure API implementations that do not require external LLM searches.
Provide technical leadership to development teams, conduct architecture reviews, develop OV-1 and Functional Block Diagram documentation, and ensure adherence to DevSecOps practices throughout the software development lifecycle.
Collaborate with COCOM stakeholders and customer champions across five commands to translate operational requirements into technical specifications, support tabletop exercise (TTX) demonstrations, and validate platform capabilities.
Drive quarterly milestone delivery aligned with MVP development approach, managing technical risk, coordinating with Business Development champions, and ensuring on-time delivery of IRAD objectives with measurable ROI and man-hours saved metrics.
Oversee development of virtual and on-site training programs, user guides, and documentation to support platform adoption across multiple Combatant Commands.
Identify and document potential intellectual property (IP), patents, and trade secrets arising from novel LLM prompting techniques, influence mapping algorithms, and visualization methods for abstract concepts.

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