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  3. AI Engineer - SETA

AI Engineer - SETA

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SAIC logo

AI Engineer - SETA

SAIC

Location

Columbia, MD, United States

Experience

Senior

Posted

Jul 7, 2026

Apply by

August 6, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

Varen, an SAIC Company is seeking an AI Engineer - SETA to join our team. This position is located in Columbia, MD and requires a TS/SCI with polygraph. The AI Engineer - SETA wil provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. The right candidate is a builder at heart—someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it. Key Responsibilities: - Provide SETA support to government teams developing or assessing AI-enabled applications and tools. - Advise on technical approaches for AI application design, prototyping, integration, and evaluation. - Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. - Support the review of architectures, development approaches, model usage patterns, and technical risk areas. - Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. - Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. - Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders. - Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation. - Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. - Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices. ### Qualifications - Bachelors and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience; PhD or JD and fifteen years or more experience. - Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. - Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. - Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. - Experience with software development fundamentals, APIs, data handling, and system integration. Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. - TS/SCI with Poly required. Desired, but not required: - Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. - Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. - Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings. - Experience supporting defense, cyber, intelligence, or mission application development. - Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. ### About the Company [SAIC®](http://www.saic.com/) is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit [saic.com](http://www.saic.com/). For ongoing news, please visit our [newsroom](http://www.saic.com/who-we-are/newsroom/).

Key Responsibilities

  • Provide technical advisory support for AI-enabled applications and tools to government teams.
  • Advise on technical approaches for AI application design, prototyping, integration, and evaluation.
  • Assess solutions involving LLMs, RAG, tool use, agentic workflows, and orchestration layers.
  • Support the review of architectures, development approaches, and technical risk areas.
  • Advise on AI engineering considerations such as latency, reliability, observability, and guardrails.
  • Evaluate and compare modern AI frameworks and agentic libraries for mission use cases.
  • Assist with the development of technical guidance, prototypes, and engineering recommendations.
  • Support test and evaluation activities for AI tools, including performance assessment and workflow validation.
  • Collaborate with platform engineers and government leadership to ensure technical grounding.
  • Stay current on the AI ecosystem and provide recommendations on emerging tools.

Requirements

  • Bachelor's degree with 18+ years of experience
  • Master's degree with 16+ years of experience
  • PhD or JD with 15+ years of experience

Skills Required

AI/ML Application DesignLLM-based ApplicationsRetrieval-Augmented Generation (RAG)Prompt EngineeringAgentic SystemsOrchestration FrameworksLangChainLangGraphSemantic KernelAutoGenCrewAIHaystackLlamaIndexSoftware Development FundamentalsAPIsData HandlingSystem IntegrationCommunicationCuriosityProblem SolvingAdaptabilityPythonJavaScriptTypeScriptVector DatabasesEmbeddingsModel APIsEvaluation FrameworksAgent Testing HarnessesModel HostingInference PipelinesCloud-based AI Development EnvironmentsSecure AI Development PracticesData ProtectionHuman-in-the-loop WorkflowsAI Assurance

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

Columbia, MD, United States

Application Deadline

August 6, 2026

Total Applicants

0

About SAIC

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SAIC is a leading company in the Technology sector, known for innovation and employee-centric culture.

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