AI Engineer - Top Secret

AI Engineer

Sunayu, LLC is looking for an AI Engineer who will support the development and operationalization of AI and agentic AI systems in production mission environments. Responsibilities: Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment. Qualifications: Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree. 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master's). Active Top Secret clearance and eligibility for TS/SCI with Polygraph Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms. Track record of creative problem solving, active learning, and mission-focused outcomes. Experience with the following: AI/ML production engineering LLMOps / MLOps RAG architectures AI orchestration frameworks Kubernetes-based AI deployments OpenAI-compatible APIs Python development GPU inference optimization Preferred Qualifications: Experience supporting military or intelligence community customers. Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing). Familiarity with the following technologies: LangGraph Semantic Kernel vLLM Ollama Ray NVIDIA GPU ecosystems Vector databases