About this AI Engineer, Architect role at Clarity Innovations
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
The AI/ML Architect will serve as the team's senior technical authority for the architecture, design, and integration of AI/ML capabilities supporting DAG mission threads. The Architect will establish a scalable, reusable AI architecture encompassing models, agents, retrieval systems, orchestration, data interfaces, evaluation, guardrails, observability, and human-in-the-loop workflows.
The Architect will determine where NGA enterprise capabilities should be leveraged and identify architectural gaps where additional capabilities are required. The role will establish reusable AI patterns and technical standards that enable the team to continuously deliver new mission-thread capabilities without creating unnecessary point solutions or proprietary dependencies.
Technical Skills:
- AI/ML architecture
- Generative AI architecture
- Large Language Models
- Agentic AI and multi-agent architectures
- RAG architectures
- Vector databases and semantic search
- Model serving and inference
- AI/ML lifecycle architecture
- LLM evaluation and benchmarking
- AI guardrails and safety
- Human-in-the-loop architectures
- MLOps/LLMOps
- Python
- REST APIs and microservices
- Docker/Kubernetes
- Cloud and hybrid architectures
- Event-driven architectures
- AI observability
- COTS/FOSS technology evaluation
- Secure AI architecture
- Enterprise system integration
Salary Range: $156,000 - $351,000
