Artificial Intelligence Engineer Specialist

MANTECH; Washington (District of Columbia); On-site; USD 170,000 - 210,000; Full time

Job summary

MANTECH is seeking a motivated Artificial Intelligence Engineer to join our team in Washington, D.C. The role focuses on building, integrating, and extending agentic AI capabilities for defense and federal use cases.

You will work with cloud-based infrastructures, GenAI foundations, and RAG enhancements, collaborating with cross-functional teams to deliver secure, scalable solutions that align with security and compliance requirements.

Qualifications

• Bachelor’s or higher in computer science, information technology, or a related field.
• 15+ years experience with 12 years of cloud experience, or a Master’s degree with 10 years of cloud experience.
• Familiar with generative AI engineering tools, vector databases, Python AI libraries, and orchestration frameworks (LangChain, Semantic Kernel) and cloud-native automation.

Responsibilities

• Integrate and extend core frameworks by interfacing with the FBI's AI Tool and architecting modular AI solutions.
• Implement Infrastructure-as-Code to rapidly compose, configure, and test agentic systems in cloud enclaves or hardware footprints.
• Deploy Generative AI and foundation models to deliver scalable, extensible frameworks across multiple use cases.
• Engineer RAG store capabilities, integrating authoritative repositories to guard against AI slop and enforce guardrails.
• Enhance prototype logic to support automated security control reviews and improve SCA/ISSM assessment pass rates.
• Deliver tooling to shift security left and reduce missed security features prior to SAA processes.
• Configure authoring agents enabling cross-functional teams to draft security control statements from existing docs and best practices.

Job description

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.
• 15+ years experience with 12 years' cloud experience, or Master's degree and 10 years cloud experience.
• 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.

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

• Must be a US Citizen with an active Top Secret /SCI and be willing and able to obtain a polygraph.

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.