Bachelor's, Master's, or equivalent degree in a quantitative field; relevant experience may be substituted.
12+ years in data science, analytics, or quantitative analysis; 4+ years with a Master's degree.
Active Top Secret clearance, eligible for TS/SCI with Polygraph.
Proven history of collaborating with hybrid research teams for analytical platform deployment.
Strong problem-solving abilities with a focus on mission outcomes.
Experience with AI/ML production engineering, Kubernetes, and Python development.
Responsibilities
Support the development of AI systems in mission environments.
Collaborate with multidisciplinary teams to solve complex challenges.
Apply advanced techniques in statistical analysis and predictive analytics.
Contribute to the integration of AI and cybersecurity in an engineering setting.
Develop innovative, production-ready algorithms and platforms.
Benefits
Flexible work arrangements including remote work options in the National Capital Region.
Full Job Description
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:
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.
Joining Leidos Holding presents an unparalleled opportunity to advance one's career with a leader in innovation and technology. The company offers a plethora of job opportunities aimed at fostering professional growth and development in a diverse and inclusive environment.
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Leidos Holding is actively seeking skilled professionals who are passionate about leveraging their expertise to drive innovation and leadership in their fields. With a variety of open positions, Leidos Holding provides a platform for individuals to challenge themselves in a dynamic work environment.
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At Leidos Holding, innovation is at the core of everything they do. Employees are encouraged to think creatively and push boundaries. The company supports this drive for innovation through comprehensive professional development and diversity training programs that are designed to enhance skills and foster leadership.
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Leidos Holding is committed to creating a workplace where diversity is not only recognized but celebrated. With a culture that values and promotes diversity, Leidos Holding ensures that all team members have the opportunity to contribute, learn, and grow.
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Employees at Leidos Holding enjoy a range of benefits designed to support their professional and personal lives. The company culture is built on a foundation of respect and integrity, providing a supportive and collaborative environment where every team member is valued.
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Leidos Holding encourages its employees to engage in networking within the company to discover new opportunities for career advancement. The leadership team at Leidos Holding is dedicated to supporting employees in their career paths with ample opportunities for networking and growth.
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