Posted 2w ago

AI Engineer

@ ManTech
Washington, District of Columbia, United States
$142k-$236k/yrOnsiteFull Time
Responsibilities:designing AI, operationalizing AI, optimizing deployments
Requirements Summary:7+ years AI/ML production engineering experience, strong Python, TensorFlow or PyTorch, MLOps/LLMOps, Kubernetes and GPU optimization, Azure ecosystem experience, and ability to obtain TS/SCI with polygraph.
Technical Tools Mentioned:Python, TensorFlow, PyTorch, Kubernetes, Microsoft Azure OpenAI, Microsoft Azure Synapse, Databricks, Microsoft Azure Security Center, LangGraph, Semantic Kernel, Ray, NVIDIA, Vector databases, OpenAI
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Job Description

Description & Requirements

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!

***This is for a future opportunity***

Description & Requirements

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.

Description & Requirements


The projected compensation range for this position is $141,500.00-$236,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

Description & Requirements


MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with MANTECH, please email us at [email protected] and provide your name and contact information.