Senior AI Engineering & Modernization Specialist

Peraton

United States

On-site

USD 135,000 - 216,000

Full time

14 days+

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Job summary

Peraton is seeking experienced AI professionals to modernize and expand enterprise AI capabilities for a large federal customer. You will design, implement, and sustain AI-enabled solutions across multiple domains, emphasizing responsible AI and scalable cloud architectures.

The role covers governance, cybersecurity, and collaboration with CIO teams, with opportunities for mentoring and knowledge transfer. Candidates should have strong ML/AI framework experience and citizenship eligibility.

Qualifications

Bachelor's degree in a technical field with 16+ years experience or Master's with 14+ years related experience.
U.S. Citizenship and ability to obtain a Public Trust clearance.
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.

Responsibilities

Support enterprise AI modernization initiatives aligned with customer operational and business objectives.
Design, develop, and implement AI-enabled solutions using ML, 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 LangChain, AutoGen, and similar orchestration technologies.
Develop APIs, integrations, vector database solutions, and scalable AI services to support enterprise AI operations.
Implement MLOps practices, CI/CD pipelines, containerization technologies, and cloud-based deployment strategies.
Integrate AI capabilities into enterprise applications using APIs, microservices, and scalable cloud architectures.
Support AI model training, evaluation, deployment, optimization, troubleshooting, and 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.