Über diese AI Engineer, Architect Stelle bei 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 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
