Senior AI Engineer - Remote/Hybrid, Mission-Centric AI

Leidos; Rockville (MD); Hybride; USD 131 000 - 237 000; Plein temps

Avantages offerts par ce poste

Health and Wellness programs

Paid Leave and Retirement

Résumé du poste

Leidos is seeking a Senior AI Engineer to accelerate AI/ML initiatives supporting the Defense Intelligence Agency. You will help develop and operationalize AI systems, collaborating with analysts, engineers, and developers to deliver production-ready algorithms and platforms.

You will work on cutting-edge techniques across analytics, AI orchestration, and scalable deployment, in a flexible environment that supports remote and on-site work in the National Capital Region.

Qualifications

• Bachelor’s, Master’s, or equivalent in a quantitative/analytical field. Substitution allowed.
• 12+ years in data science/analytics/artificial intelligence with 4+ years post-master.
• Active TS/SCI with Polygraph eligibility.
• Experience collaborating with hybrid teams to build analytical platforms.
• Proven track record in creative problem solving and mission-focused outcomes.
• Experience with production AI/ML, LLMOps, RAG architectures, and Kubernetes-based deployments.

Responsabilités

• Support development and operationalization of AI/agentic AI systems in production environments.
• Collaborate with analysts, engineers, and developers to deliver production-ready algorithms and platforms.
• Apply advanced analytics methods including predictive analytics, entity resolution, and explainable AI.
• Integrate AI with DevSecOps, data engineering, and cybersecurity in a fast-paced environment.

Connaissances

AI/ML Eng

MLOps

Kubernetes

Python

Data analytics

Team collaboration

Formation

Bachelor’s degree (quantitative)

Master’s degree preferred

Outils

Azure/C2S

OpenAI APIs

GPU optimization

Python development

Description du poste

Leidos is seeking a Senior AI Engineer to accelerate AI/ML initiatives supporting the Defense Intelligence Agency. You will help develop and operationalize AI systems, collaborating with analysts, engineers, and developers to deliver production-ready algorithms and platforms.

You will work on cutting-edge techniques across analytics, AI orchestration, and scalable deployment, in a flexible environment that supports remote and on-site work in the National Capital Region.