Artificial Intelligence Engineer, Specialst

MANTECH is seeking a motivated, career, and client-oriented Artificial Intelligence Engineer to join our team in Washington, D.C.

Responsibilities include but are not limited to:

• Integrate and Extend Core Frameworks: Integrate with and extend the capabilities of the FBI’s AI Tool using an installable, modular, and proven agentic AI architecture.
• Implement Infrastructure-as-Code (IaC): Utilize infrastructure-as-code templates to rapidly compose, configure, and test the agentic system and its tools within the FBI’s designated cloud enclave or hardware footprint.
• Deploy Generative AI & Foundation Models: Wrap agentic capabilities around the Bureau’s selected generative AI (genAI) foundation model to deliver a reliable, extensible, and scalable framework across multiple use-cases.
• Engineer Advanced RAG Store Capabilities: Build and maintain modular, Retrieval Augmented Generation (RAG)–enhanced capabilities, integrating authoritative repositories to guard against "AI slop" and enforce system guardrails.
• Adopt, incorporate, and progressively enhance existing prototype logic into the Agentic Framework to support automated security control reviews, helping to optimize assessment pass rates for SCAs and ISSMs.
• Implement and deliver fully operational engineering guidance tools to "shift security left," minimizing the risk of missing security features prior to the formal SAA process.
• Configure authoring agents that enable cross-functional teams to develop cell-based, first-draft security control implementation statements derived from existing engineering documentation and best practices.

Minimum Qualifications:

• Bachelor’s and/or advanced degree in computer science, business management, or IT related discipline.
• Familiarity with the use, operation, and integration of generative AI engineering tools, vector databases, Python AI libraries, orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar agentic software platforms), and cloud-native infrastructure automation tools.
• Minimum 15 years’ experience with 12 years’ cloud experience, or Master’s degree and 10 years’ cloud experience.

Preferred Qualifications:

• Hold at least one of the following certifications: AWS Certified Solutions Architect – Associate or Professional, AZ-300/301: Microsoft Certified: Azure Solutions Architect Expert. Google – Professional Cloud Architect.

Clearance Requirements:

• US Citizenship is required.
• Must be a US Citizen with an active Top Secret /SCI with Poly clearance.

Physical Requirements:

• Must be able to remain in a stationary position 50% of the time.
• Must be able to communicate, converse, and exchange information with peers and senior personnel.
• Constantly operates a computer and other office productivity machinery, such as a computer.