MANTECH

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.