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HomeCompaniesCareers Peraton Icims ComSenior AI/ML Engineer

Senior AI/ML Engineer

Careers Peraton Icims Com · UNAVAILABLE, UNAVAILABLE, US · Active · $135,000–$216,000 / day · iCIMS

Job facts

FieldValue
CompanyCareers Peraton Icims Com
TitleSenior AI/ML Engineer
Normalized title-
Department / teamScientific, Research & Analysis
LocationUNAVAILABLE, UNAVAILABLE, United States
Work model-
Employment typeFull Time
Salary$135,000–$216,000 / day
Statusactive
ATS provideriCIMS
Posted / first seen2026-03-04 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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City jobsActive postings in UNAVAILABLE.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Peraton Icims Com
Source944b3981-c90b-4379-a0d8-7cc8e4e36cf3
ATS provideriCIMS

Description

Responsibilities 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). Peraton Overview 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 do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. 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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Full job record

Job IDa010a4c614fc6636f16df82caeab39f0e35fb3e3
Org IDb88db125-2f81-4362-9897-a29d0e7de670
Source ID944b3981-c90b-4379-a0d8-7cc8e4e36cf3
Board ID944b3981-c90b-4379-a0d8-7cc8e4e36cf3
Providericims
Provider Job Key164159
TitleSenior AI/ML Engineer
Normalized Title
Statusactive
Activeyes
Location TextUNAVAILABLE, UNAVAILABLE, US
DepartmentScientific, Research & Analysis
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionUNAVAILABLE
CityUNAVAILABLE
Salary RawResponsibilities 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). Peraton Overview 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 do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. 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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Salary Min135,000
Salary Max216,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://careers-peraton.icims.com/jobs/164159/senior-ai-ml-engineer/job
Apply URLhttps://careers-peraton.icims.com/jobs/164159/senior-ai-ml-engineer/job
First Seen At2026-05-31 18:45:22Z
Last Seen At2026-06-06 08:30:31Z
Last Checked At2026-06-06 08:30:31Z
Last Changed At2026-06-01 13:53:09Z
Inactive At
Source Posted At2026-03-04 05:00:00Z
Source Updated At2026-05-13 19:33:01Z
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