Senior AI Engineer

Are you ready to thrive Through training teamwork and exposure to challenging technical work let Leidos show how to accelerate your career path.

Join Leidos all-star team supporting the Defense Intelligence Agencys Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI data and mission platform capabilities across cloud edge and classified environments. We are looking for creative driven and mission-focused professionals ready to take their career to the next level.

As a Senior AI Engineer you will:

• Support the development and operationalization of AI and agentic AI systems in production mission environments.

• 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.

• Enjoy flexible work arrangements including remote and on-site work in the National Capital Region (Rockville MD and/or Alexandria VA).

What You Bring:

• Bachelors Masters 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 Masters).

• 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

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If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.