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AI Engineer with Security Clearance

MANTECHWashington, DC🇺🇸United StatesPosted 13 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

MANTECH seeks a motivated, career, and customer-oriented AI Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment. The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance. Responsibilities include but are not limited to: * Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).
* Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.
* Build and maintain scalable AI orchestration frameworks and production-ready AI systems.
* Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.
* Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.
* Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.
* Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.
* In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.
* Experience with Kubernetes-based AI deployments and GPU optimization techniques.
* Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center). Preferred Qualifications: * Bachelor's degree in Computer Science, Engineering or a related field.
* Experience with LangGraph, Semantic Kernel, and agentic AI systems.
* Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.
* Advanced degree (Master's or PhD) in a technical field. Clearance Requirements: * TS/SCI with the ability to obtain and maintain a polygraph Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time.
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
* Constantly operates a computer and other office productivity machinery.

Skills

MLOps
Machine Learning
Azure
Databricks
Kubernetes
PyTorch
Python
TensorFlow

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