Senior Technical Architect (AI Platforms / IRAD Technical Lead)

Strategic Resilience Group; Virginia, Northern (MN, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Strategic Resilience Group is seeking a Senior Technical Architect to lead IRAD AI platforms and drive LLM-enabled system design from a remote CONUS-based location. You will guide multi-cloud deployments (AWS, Azure) with secure, compliant architectures and build data integration pipelines for diverse datasets, including gov't systems and mission platforms.

The role requires 10+ years in software architecture and 5+ years in a lead role, with strong LLM experience, cloud expertise, and DevSecOps

Qualifications

• Bachelor's degree in Computer Science, Engineering, AI, Data Science, or a related field.
• 10+ years of software architecture, systems engineering, or platform development experience.
• 5+ years in a technical lead or architect role on complex systems.
• Experience with Large Language Models (LLMs), prompt engineering, and AI workflows.
• Strong cloud experience (AWS, Azure) and secure deployment environments.
• Experience with data integration, ETL/ELT, APIs, and data visualization tools.

Responsibilities

• Serve as the technical lead for internal R&D 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 (exercises, prototypes).
• Oversee development of documentation, training materials, and user adoption strategies.
• Identify opportunities for innovation, intellectual property development, and capability differentiation.

Skills

LLM workflows

Prompt engineering

AI platforms

Cloud architecture

DevSecOps

Cross-team leadership

Data visualization

Education

Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field

Tools

Docker

Kubernetes

AWS

Azure

Plotly

D3.js

ArcGIS

GeoJSON

CI/CD

Job description

Senior Technical Architect (AI Platforms / IRAD Technical Lead)

Remote (CONUS-Based)

Position 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

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

Experience with DevSecOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes)

Familiarity with data visualization tools (e.g., Plotly, D3.js)

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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