Senior DoD AI Architect – Enterprise & Cloud

Applied Res; Bedford (MA); Hybrid; USD 195,000 - 215,000; Full time

Job summary

Applied Research Solutions seeks a Principal AI Architect at Hanscom AFB to lead enterprise AI architectures spanning AI/ML, generative AI, cloud, data, cybersecurity, and mission systems. You will translate complex DoD requirements into secure, scalable AI architectures and drive technical patterns used across programs and environments.

You will serve as a trusted advisor to government customers and leadership, shaping the technical vision and roadmap for next-generation AI capabilities while

Qualifications

• Must be a US citizen.
• Top Secret Security Clearance with SCI eligibility.
• Must pass SAP Screening.
• Bachelor's degree in computer science, Computer Engineering, Artificial Intelligence, Data Science, Systems Engineering or related technical discipline.
• Master's degree in relevant technical discipline preferred.
• 15+ years of experience in software engineering, systems engineering, cloud architecture, AI/ML, data architecture, or related fields.
• 5+ years of experience designing and implementing enterprise-scale AI/ML solutions.
• Demonstrated experience serving as a technical architect or senior technical leader for complex systems.
• Extensive experience with AI/ML architectures and production AI systems.
• Strong understanding of generative AI, LLMs, RAG, foundation models, model evaluation, and AI agents.
• Strong understanding of distributed systems, cloud-native architectures, APIs, microservices, containers, and Kubernetes.
• Extensive experience with MLOps, DevSecOps, CI/CD, and AI/ML lifecycle management.
• Strong understanding of cybersecurity architecture and secure software development.
• Demonstrated ability to communicate complex architecture and technology concepts to senior technical and government stakeholders.

Responsibilities

• Define enterprise and mission-level architectures for AI, ML, generative AI and decision-support capabilities.
• Establish technical vision, architecture principles, reference architectures, design patterns, and roadmaps for DoD AI programs.
• Lead architecture decisions spanning AI models, data platforms, cloud infrastructure, applications, APIs, cybersecurity, networking, and edge computing.
• Evaluate emerging AI technologies and determine their applicability to operational and mission requirements.
• Provide technical leadership across the complete AI lifecycle from prototyping to production and sustainment.
• Establish reusable architecture patterns for secure, scalable AI adoption across mission areas.
• Lead architecture reviews and provide recommendations to senior government and program leadership.
• Architect enterprise-grade solutions leveraging LLMs, foundation models, multimodal AI, RAG, AI agents, and domain-specific models.
• Design secure architectures for government use of commercial, open-source, and internally developed foundation models.
• Establish approaches for model selection, fine-tuning, prompt engineering, evaluation, serving and lifecycle management.
• Design AI agent architectures with tools, knowledge bases, orchestration, oversight and safeguards.
• Establish methodologies for evaluating model accuracy, robustness, security, reliability, bias, and mission suitability.
• Develop architectures for AI-enabled decision support with human oversight.
• Design AI architectures across cloud, hybrid, on-premises, disconnected, tactical and edge environments.
• Architect GPU/accelerated computing infrastructure for AI training and inference.
• Develop strategies for deploying AI in constrained or intermittently connected environments.
• Integrate AI services with DoD applications, enterprise platforms, mission systems, data environments and APIs.
• Define architectures for high availability, resilience, scalability, fault tolerance and mission continuity.
• Establish enterprise MLOps and AI engineering practices for repeatable model development, testing, deployment, monitoring and lifecycle management.
• Define CI/CD and DevSecOps patterns for AI/ML systems.
• Establish model registries, feature stores, data pipelines, evaluation frameworks and monitoring architectures.
• Design automated mechanisms for model validation, security testing, performance monitoring, drift detection and rollback.
• Ensure AI systems can be maintained, upgraded and governed throughout their lifecycle.

Skills

AI architecture

Cloud architecture

MLOps / DevSecOps

Kubernetes

Security clearance

US citizenship

Education

Bachelor's degree in computer science or related field

Master's degree preferred

Tools

CI/CD tooling

Kubernetes

Job description

Applied Research Solutions seeks a Principal AI Architect at Hanscom AFB to lead enterprise AI architectures spanning AI/ML, generative AI, cloud, data, cybersecurity, and mission systems. You will translate complex DoD requirements into secure, scalable AI architectures and drive technical patterns used across programs and environments.

You will serve as a trusted advisor to government customers and leadership, shaping the technical vision and roadmap for next-generation AI capabilities while