ManTech International

AI Engineer

ManTech International$141K — $236K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in AI/ML production engineering or related roles, or equivalent experience without a degree.
  • Proficiency in Python and experience with AI/ML libraries including TensorFlow or PyTorch.
  • Strong understanding of MLOps/LLMOps and the complete machine learning lifecycle.
  • Experience with Kubernetes deployments and GPU optimization.
  • Experience in designing and managing scalable solutions within the Microsoft Azure ecosystem.

Responsibilities

  • Design and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).
  • Implement Retrieval-Augmented Generation (RAG) architectures into production.
  • Build and maintain scalable AI orchestration frameworks.
  • Manage and optimize Kubernetes-based AI deployments for GPU inference.
  • Conduct core Python development for AI systems and integrate OpenAI-compatible APIs.
  • Operationalize AI agents using frameworks such as LangGraph or Semantic Kernel.

Benefits

  • Health Insurance
  • Life Insurance
  • Paid Time Off
  • Holiday Pay
  • Short-term and long-term Disability
  • Retirement and Savings programs
  • Learning and Development opportunities
  • Wellness programs
Full Job Description
Description & Requirements

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

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.


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.

About ManTech International

ManTech International Corporation is an American defense contracting firm that was founded in 1968. The company provides cybersecurity, intelligence, and defense solutions to the United States Government. ManTech has over 9,000 employees and operates in 40 countries worldwide. The company's services include software development, systems engineering, and enterprise IT solutions. ManTech has been awarded numerous contracts by the U.S. Department of Defense and other government agencies.
Learn more about ManTech International
Size
9,800 employees
Market Cap
$3.7 billion
Industry
Net Income
$120.5 million
Founded
1968
5 Year Trend
+9.8%
Revenue
$2.5 billion
NASDAQ

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