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Senior technical AI Architect responsible for designing, building, and deploying AI solutions that support homeland security mission requirements. This role integrates machine learning, NLP, and data engineering with secure, scalable system architectures.
Job Responsibility:
Define system architecture and govern AI/ML and platform technologies to ensure scalability, security, and production readiness
Lead technical design, development, and implementation of an agent-based AI system for enterprise data orchestration
Work with development, DevOps, and data engineering teams to translate requirements into scalable AI architectures
Develop AI strategies aligned with mission and business objectives
Lead proofs of concept to evaluate emerging technologies
Assess and select AI tools, frameworks, and cloud platforms (AWS, Azure, Google)
Requirements:
Active Top-Secret or DHS Public Trust clearance
8+ years delivering AI solutions for federal agencies
Bachelor’s degree in Computer Science, Engineering, or Data Science
Deep expertise in ML, deep learning, NLP, and neural networks
Experience with AWS, Azure, GCP, Kubernetes, Docker
Ability to identify high‑value AI use cases and define technical requirements
Hands-on experience with Generative AI, AI agents, LLMs, reinforcement learning, and computer vision
Proficiency across cloud and engineering tools: AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, SageMaker, Vertex AI, Bedrock, Gemini
Strong Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, and RAG
Experience developing AI/ML roadmaps, conducting AoAs, and making technical tradeoff decisions
Experience leading multidisciplinary technical teams
Strong written and verbal communication skills
able to present to varied stakeholders
Nice to have:
Experience integrating AI with SaaS/PaaS platforms (ServiceNow, Salesforce)