Peraton is seeking experienced AI professionals to support the modernization and expansion of enterprise Artificial Intelligence (AI) capabilities for a large federal customer. This effort will support strategic AI initiatives focused on automation analytics generative AI intelligent agents software engineering governance and enterprise modernization efforts.
The selected candidate(s) will support the design development implementation integration governance optimization and sustainment of AI-enabled solutions across multiple business and technical domains. These efforts will support enterprise modernization objectives while maintaining responsible AI practices transparency accountability operational sustainability and mission alignment.
Key Responsibilities
Support enterprise AI modernization initiatives aligned with customer operational and business objectives.
Design develop and implement AI-enabled solutions using machine learning large language models (LLMs) generative AI and intelligent automation technologies.
Develop autonomous and semi-autonomous AI agents capable of reasoning planning and executing multi-step workflows.
Build agentic AI architectures utilizing frameworks such as LangChain AutoGen and similar orchestration technologies.
Develop APIs integrations vector database solutions and scalable AI services to support enterprise AI operations.
Integrate AI capabilities into enterprise applications using APIs microservices and scalable cloud architectures.
Support AI model training evaluation deployment optimization troubleshooting and operational sustainment activities.
Develop dashboards reporting solutions predictive analytics capabilities and executive-level visualizations.
Support AI governance security compliance ethical AI transparency and risk mitigation initiatives.
Collaborate with executive leadership CIO organizations technical teams and business stakeholders to support AI adoption and modernization efforts.
Provide technical documentation workshops mentoring training and knowledge transfer activities.
Support ongoing operational monitoring maintenance retraining optimization and lifecycle management of deployed AI capabilities.
Identify opportunities for AI-enabled automation operational efficiencies productivity improvements and enterprise modernization initiatives.
Translate technical AI concepts into business-focused recommendations and operational outcomes.
Qualifications
Basic Qualifications
Bachelors degree in Computer Science Engineering Data Science Mathematics Physics Artificial Intelligence Information Technology or related technical field with 16 years experience or Masters degree with 14 years related experience; additional experience may be considered in lieu of degree
U.S. Citizenship
Must have the ability to obtain and maintain a Public Trust clearance.
Candidates must have resided in the United States for the past five (5) years with no more than 6 months outside travel of the U.S. during this time frame.
Experience supporting enterprise AI machine learning automation analytics or software engineering initiatives.
Knowledge of generative AI LLMs AI orchestration frameworks intelligent automation and AI-enabled software development.
Experience with AI/ML frameworks and tools such as PyTorch TensorFlow LangChain AutoGen or similar technologies.
Experience with APIs microservices cloud technologies CI/CD pipelines and containerization technologies such as Kubernetes.
Strong understanding of AI governance cybersecurity data security compliance and ethical AI principles.
Ability to analyze complex technical challenges and provide scalable AI solutions.
Preferred Qualifications
Experience supporting federal government or enterprise modernization programs.
Experience with predictive analytics data engineering visualization and dashboard development.
Experience supporting enterprise AI operational sustainment and lifecycle management activities.
Familiarity with vector databases intelligent agents and advanced AI orchestration capabilities.
Experience supporting AI strategic advisory or roadmap development initiatives.
Candidates with strong mathematical or computational backgrounds including Mathematicians are highly desired.
Relevant AI cloud cybersecurity or engineering certifications are a plus.
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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$135000 - $216000. 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 individuals 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.
Required Experience:
IC
ResponsibilitiesPeraton is seeking experienced AI professionals to support the modernization and expansion of enterprise Artificial Intelligence (AI) capabilities for a large federal customer. This effort will support strategic AI initiatives focused on automation analytics generative AI intelligent...
Responsibilities
Peraton is seeking experienced AI professionals to support the modernization and expansion of enterprise Artificial Intelligence (AI) capabilities for a large federal customer. This effort will support strategic AI initiatives focused on automation analytics generative AI intelligent agents software engineering governance and enterprise modernization efforts.
The selected candidate(s) will support the design development implementation integration governance optimization and sustainment of AI-enabled solutions across multiple business and technical domains. These efforts will support enterprise modernization objectives while maintaining responsible AI practices transparency accountability operational sustainability and mission alignment.
Key Responsibilities
Support enterprise AI modernization initiatives aligned with customer operational and business objectives.
Design develop and implement AI-enabled solutions using machine learning large language models (LLMs) generative AI and intelligent automation technologies.
Develop autonomous and semi-autonomous AI agents capable of reasoning planning and executing multi-step workflows.
Build agentic AI architectures utilizing frameworks such as LangChain AutoGen and similar orchestration technologies.
Develop APIs integrations vector database solutions and scalable AI services to support enterprise AI operations.
Integrate AI capabilities into enterprise applications using APIs microservices and scalable cloud architectures.
Support AI model training evaluation deployment optimization troubleshooting and operational sustainment activities.
Develop dashboards reporting solutions predictive analytics capabilities and executive-level visualizations.
Support AI governance security compliance ethical AI transparency and risk mitigation initiatives.
Collaborate with executive leadership CIO organizations technical teams and business stakeholders to support AI adoption and modernization efforts.
Provide technical documentation workshops mentoring training and knowledge transfer activities.
Support ongoing operational monitoring maintenance retraining optimization and lifecycle management of deployed AI capabilities.
Identify opportunities for AI-enabled automation operational efficiencies productivity improvements and enterprise modernization initiatives.
Translate technical AI concepts into business-focused recommendations and operational outcomes.
Qualifications
Basic Qualifications
Bachelors degree in Computer Science Engineering Data Science Mathematics Physics Artificial Intelligence Information Technology or related technical field with 16 years experience or Masters degree with 14 years related experience; additional experience may be considered in lieu of degree
U.S. Citizenship
Must have the ability to obtain and maintain a Public Trust clearance.
Candidates must have resided in the United States for the past five (5) years with no more than 6 months outside travel of the U.S. during this time frame.
Experience supporting enterprise AI machine learning automation analytics or software engineering initiatives.
Knowledge of generative AI LLMs AI orchestration frameworks intelligent automation and AI-enabled software development.
Experience with AI/ML frameworks and tools such as PyTorch TensorFlow LangChain AutoGen or similar technologies.
Experience with APIs microservices cloud technologies CI/CD pipelines and containerization technologies such as Kubernetes.
Strong understanding of AI governance cybersecurity data security compliance and ethical AI principles.
Ability to analyze complex technical challenges and provide scalable AI solutions.
Preferred Qualifications
Experience supporting federal government or enterprise modernization programs.
Experience with predictive analytics data engineering visualization and dashboard development.
Experience supporting enterprise AI operational sustainment and lifecycle management activities.
Familiarity with vector databases intelligent agents and advanced AI orchestration capabilities.
Experience supporting AI strategic advisory or roadmap development initiatives.
Candidates with strong mathematical or computational backgrounds including Mathematicians are highly desired.
Relevant AI cloud cybersecurity or engineering certifications are a plus.
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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$135000 - $216000. 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 individuals 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.
Peraton provides innovative solutions for the most sensitive and critical programs in government today, developed and executed by scientists, engineers, and other experts.
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