Senior Technical Architect (AI Platforms / IRAD Technical Lead)

Strategic Inc
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Geographic Information Systems Artificial Intelligence Amazon Web Services Systems Engineering ArcGIS (Software) Microsoft Azure Cloud Engineering Continuous Integration D3.Js Data Integration Extract Transform Load (ETL)
+23 more
Data Visualization Python (Programming Language) Machine Learning Software Architecture Role-Based Access Control System Testing TypeScript ReactJS Large Language Models Prompt Engineering Software Security Multi-Cloud Containerization AI Platforms Kubernetes Information Technology Plotly Web Technologies Api Design Data Pipelines Automation Anywhere Devsecops Docker

Job description

  • 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

Requirements

  • 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)

  • 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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