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Peraton · 4 weeks ago

Sr. Technical Architect / Active Secret / Remote

United States

Full-time

Remote

Senior Level, Lead/Staff

$176K/yr - $282K/yr

12+ years exp

Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As a Sr. Technical Architect, you will lead technical architecture for AI/ML-driven platforms, ensuring innovative solutions support Combatant Command information operations.

Information TechnologyRobotics

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Large Language ModelsCloud ArchitectureData IntegrationTechnical LeadershipPythonAWSMicrosoft AzureDevSecOpsContainerizationGeospatial DataAgile/ScrumCommunication SkillsProblem Solving

Required

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

Preferred

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+)