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Senior AI/ML Engineer

Peraton -
Annapolis Junction, MD

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Job Details

$135,000 - $216,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

AI models
Systems integration
Tooling
Software implementation
Generative models
Process design
Application deployment
Prompt engineering
Development environments
System design for system development
Machine intelligence
Model deployment
Developing large-scale AI models
System deployment
Model evaluation
Python
Design (software development lifecycle)
Generative AI

Full Job Description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Program Overview

Forges tech modernization and provides support services like development, DevOps, and system integration. This program enables the agency to provide reliable and efficient services that are critical to U.S. businesses and the day-to-day lives of citizens.

About The Role

Peraton is seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced AI/ML solutions that accelerate automation and operational efficiency. This role requires deep expertise in large language models (LLMs), generative AI, and agentic workflows to architect secure, scalable, and high-impact solutions in mission-focused environments.

The ideal candidate brings hands-on technical depth, strong architectural judgment, and the ability to translate complex AI capabilities into practical business outcomes.

What You Will Do

Lead the design and implementation of generative AI solutions, including rapid prototypes and production pilots.
Architect and deploy agent-based LLM workflows with structured outputs, multi-agent orchestration, tool integration, and validation mechanisms.
Perform end-to-end data engineering and analysis (exploratory, predictive, statistical) using Python, R, and SQL; develop dashboards and visualizations to communicate insights.
Apply modern software engineering practices (Git, CI/CD, DevSecOps) to transition AI models from development to secure production environments.
Translate mission and business requirements into scalable technical designs; effectively communicate AI concepts to non-technical stakeholders.
Integrate AI-driven automation with enterprise systems, APIs, and databases.
Develop reusable frameworks, best practices, and toolkits to enable enterprise-wide AI adoption.
Ensure compliance with data security, privacy, and ethical AI standards; implement guardrails, monitoring, and responsible AI controls.
Mentor engineers and data scientists; contribute to documentation, knowledge sharing, and AI governance practices.

Qualifications

Basic Qualifications:

Bachelor’s degree with 12+ years of experience, Master’s with 10+ years, or PhD with 7+ years in Computer Science, Engineering, Physics, Mathematics, or related STEM discipline
US Citizenship required; must have the ability to obtain and maintain a Public Trust clearance.
Demonstrated experience building, deploying, and optimizing AI/ML solutions in production environments.
Hands-on experience designing agentic AI architectures and autonomous workflows.
Strong programming proficiency in Python; experience with C/C++ or JavaScript is a plus.
Experience integrating and consuming APIs from state-of-the-art LLM providers.
Demonstrated expertise in prompt engineering, Retrieval-Augmented Generation (RAG), model fine-tuning, and evaluation techniques.
Familiarity with modern development environments and tool chains (e.g., Visual Studio Code, Git-based workflows).

Preferred Qualifications:

Experience with ML frameworks such as TensorFlow or PyTorch.
Experience with advanced data science techniques using R.
Familiarity with agent development frameworks and emerging interoperability standards such as Anthropic’s Model Context Protocol (MCP).
Experience leveraging AI coding assistants (e.g., GitHub Copilot, Microsoft Copilot, Claude Code capabilities) to accelerate development workflows.
Experience working with platforms such as Azure OpenAI, GPT models, Claude, or Gemini.
Relevant certifications (AWS Machine Learning Specialty, Azure AI Engineer Associate, Google Professional ML Engineer, DeepLearning.AI certifications).

Details

Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Apply Now

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