Seeking an AI Solution Architect to design, build, and deploy artificial intelligence solutions that support mission outcomes across homeland security
27th March, 2026
AI Solution Architect
Job Location: Ashburn, VA, Springfield, Washington, D.C.
Job Type: Hybrid (Onsite 2-3 days per week in DC, Ashburn, VA, and Springfield, VA).
Seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market.
In this role, you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.
YOUR FUTURE DUTIES AND RESPONSIBILITIES:
Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
Partner closely with development, DevOps, and data engineering teams to translate project requirements into an extensible AI architecture
Create and promote AI strategies that align with business objectives
Develop and coordinate POCs to test new technologies
Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation
QUALIFICATIONS
U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance.
8+ years of experience delivering AI solutions across federal agencies.
Bachelor's degree in Computer Science, Engineering, or Data Science
Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks.
Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
Ability to identify high-impact AI use cases and translate them into technical requirements.
Experience designing, building, and deploying advanced AI systems, including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models.
Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini.
Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG.
Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions.
Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders.
Excellent written and oral communication skills.
Ability to tailor and present information across multiple stakeholders.
NICE TO HAVES
Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)