Senior AI/ML Engineer

Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced AI/ML solutions that enhance automation and operational efficiency.

Responsibilities:

• 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)