Senior Technical Architect (AI Platforms / IRAD Technical Lead) – TS/SCI
Remote (CONUS-Based)
Strategic Resilience Group (SRG Adaptive) is seeking a Senior Technical Architect / IRAD Technical Lead to drive the design, development, and deployment of advanced AI/ML-enabled platforms supporting operations in the Operational Information Environment (OIE).
This is a high-impact role focused on architecting next-generation solutions that integrate large language models (LLMs), multi-source data, and cloud-native infrastructure to support mission planning and decision advantage across Combatant Command environments.
The ideal candidate brings deep expertise in AI architecture, cloud ecosystems, and data integration, combined with experience supporting national security or defense mission sets.
Position Responsibilities
Key Responsibilities
- Serve as the technical lead for internal R&D (IRAD) initiatives focused on AI/ML-driven mission platforms
- Architect and design LLM-enabled systems, including agent-based workflows and structured output pipelines
- Lead development of scalable solutions leveraging multi-cloud environments (AWS, Azure) with secure, compliant architectures
- Design and implement data integration pipelines, enabling ingestion, orchestration, and visualization of multi-source datasets
- Develop technical solutions that integrate with existing government systems and mission platforms
- Ensure compliance with FedRAMP and IL2–IL4 security requirements, including RBAC and secure API frameworks
- Provide technical leadership across engineering teams, including architecture reviews, DevSecOps alignment, and system validation
- Translate operational requirements into technical solutions through collaboration with mission stakeholders and end users
- Support demonstrations, testing events, and capability validation (e.g., exercises, prototypes)
- Oversee development of documentation, training materials, and user adoption strategies
- Identify opportunities for innovation, intellectual property development, and capability differentiation
Required Qualifications
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, AI, Data Science, or related field
- 10+ years of experience in software architecture, systems engineering, or platform development
- 5+ years in a technical lead or architect role supporting complex systems
- Demonstrated experience with Large Language Models (LLMs), including prompt engineering and AI workflows
- Strong experience with cloud architecture (AWS, Azure) and secure deployment environments
- Experience with data integration, ETL/ELT pipelines, and API development
- Proficiency in Python and modern web technologies (JavaScript/TypeScript, React or similar)
- Experience with DevSecOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes)
- Familiarity with data visualization tools (e.g., Plotly, D3.js)
Preferred Qualifications
Preferred Qualifications
- Experience supporting DoD, IC, or Combatant Command environments
- Familiarity with information operations, OIE, or influence operations
- Experience with geospatial data and visualization (ArcGIS, GeoJSON, etc.)
- Understanding of advanced analytics, simulation models, or decision-support tools
- Experience working in classified or controlled environments (IL2–IL6)
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