AI/ML Engineer
Clarity InnovationsAbout the role
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 Engineer will establish and evolve the technical architecture supporting AI-enabled capabilities, including agents, models, retrieval systems, data services, orchestration, evaluation, guardrails, and human-in-the-loop workflows.
The AI/ML Engineer t will maximize reuse of the sponsor’s enterprise capabilities while identifying architectural gaps requiring new or enhanced capabilities. This role will establish reusable patterns for AI capability development and ensure that solutions are scalable, modular, observable, secure, and based on open/COTS/FOSS technologies.
Technical Skills:
AI/ML architecture and applied AI systems
LLM and generative AI architectures
Agentic AI and multi-agent systems
RAG and knowledge retrieval architectures
Model serving and inference architectures
AI evaluation and benchmarking
AI guardrails and human-in-the-loop architectures
AI/ML lifecycle management
Python
REST APIs and microservices
Containerization with Docker/Kubernetes
Cloud and hybrid/on-premises architectures
Event-driven architectures
MLOps/LLMOps
Model and application observability
Secure software architecture
Experience integrating enterprise platforms and APIs
Salary Range: $163,000 - $368,000
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Responsibilities
- Establish and evolve the technical architecture supporting AI-enabled capabilities
- Maximize reuse of the sponsor’s enterprise capabilities
- Identify architectural gaps requiring new or enhanced capabilities
- Establish reusable patterns for AI capability development
- Ensure solutions are scalable, modular, observable, secure, and based on open/COTS/FOSS technologies
Qualifications
- Experience with AI/ML architecture and applied AI systems
- Knowledge of LLM and generative AI architectures
- Familiarity with agentic AI and multi-agent systems
- Experience with model serving and inference architectures
- Understanding of AI evaluation and benchmarking
Skills mentioned
About Clarity Innovations
Clarity Innovations designs, develops, and deploys force-enhancing software that links human ingenuity to powerful computing and makes our country and our world a better, safer place. Our principles of servant leadership, mutual respect, and technological excellence enable us to thrive on the challenges of the digital frontline. Clarity is focused on helping the Government redefine its relationship with technology by encouraging the use of DevSecOps and Agile methodologies, small-teams constructs, and process automation. To create an atmosphere that embraces the challenges inherent in progress, we honor creativity and curiosity, supporting exploration and growth with modern tech stacks and methodologies. We are as much a family as we are a team, collectively engineering technology that improves the lives and work of the people who use it. We empower our people with the tools, training, and vision they need to outperform the competition.