DevOps Artificial Intelligence Engineer

Overview

Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we’ve been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now—unleash your potential with MANTECH!

• Lead the design and operational deployment of Large Language Model (LLM) based applications and AI agents across AWS or Google cloud environments.
• Implement and optimize Model Context Protocol (MCP) for context-aware orchestration and efficient scaling of AI services.
• Design and manage embeddings generation, storage, and retrieval, enabling semantic search and recommendation and develop monitoring, logging, and observability solutions leveraging the Elastic Stack (Elasticsearch, Logstash, Kibana).
• Engineer graph-oriented deployment architectures for dependency mapping, relationship-aware data flow advanced troubleshooting and automate deployment, scaling, and monitoring using modern MLOps and AIOps practices (CI/CD, containerization, orchestration).
• Ensure data quality, lineage, and governance across multiple systems and pipelines.
• Collaborate with data scientists, ML engineers, and Dev Ops teams to deliver high-availability AI-powered applications.
• Build monitoring and alerting solutions to detect anomalies, performance bottlenecks, and failures in AI/ML services and research and implement emerging AI infrastructure and tools and best practices to continuously improve system reliability and scalability.

• BS/BA and 12+ years or MS/MA/MBA and 9+ years or PhD/Doctorate and 7+ years.
• Experience in Data Engineering, Dev Ops, or AI/ML Ops roles.
• Strong coding skills in Python or Java.
• Hands-on experience with vector search and retrieval-augmented generation (RAG), containers and orchestration (Docker, Kubernetes).
• Knowledge of CI/CD pipelines (Harness, Jenkins) and best practices for AI/ML deployment, security, compliance, and access controls for data and AI systems.
• Deep understanding of search, indexing, and graph databases (Elasticsearch, Neo4j, Janusgraph or equivalent).
• Experience with LLM deployment frameworks (Lang Chain, RAG pipelines, vector databases like Pinecone, Weaviate, or FAISS).

• Prior experience managing LLM workloads at scale (fine-tuning, serving, and monitoring).
• Familiarity with Agentic architecture and Model-Context-Protocol (MCP).
• Experience with GPU-based infrastructure and performance optimization.
• Familiarity with database (Postgres) schema and tables.
• Exposure to observability for AI models (model drift, bias detection, explainability).

Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.

The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.

MANTECH International Corporation 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  and provide your name and contact information.