Senior AI/ML Engineer

Peraton Inc
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 216K

Job location

Tech stack

JavaScript
API
Artificial Intelligence
Application Frameworks
Azure
C++
Computer Programming
Databases
Continuous Integration
Information Engineering
Data Security
R
Interoperability
Python
Machine Learning
Microsoft Visual Studio
TensorFlow
Azure
SQL Databases
Systems Integration
Enterprise Software Applications
Microsoft Power Automate
GitHub Copilot
PyTorch
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
GIT
Git Flow
Information Technology
GPT
Devsecops

Job description

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.

Requirements

  • 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)., * 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).

Benefits & conditions

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.

About the company

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., 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.

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