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MANTECH · 2 weeks ago

DevOps Artificial Intelligence Engineer

Ashburn, VA

Full-time

Hybrid

Senior Level, Lead/Staff

9+ years exp

MANTECH seeks a motivated AI Ops Engineer to join their AI innovation team. The role involves leading the design and deployment of AI applications, ensuring data quality, and collaborating with various teams to deliver high-availability AI-powered applications.

Cyber SecurityInformation TechnologySecurityTelecommunications

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

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 DevOps 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

Qualification

Large Language ModelsAI/ML OperationsData EngineeringPythonDockerKubernetesCI/CD PipelinesElasticsearchGraph DatabasesJavaMonitoring SolutionsPerformance OptimizationObservability

Required

BS/BA and 12+ years or MS/MA/MBA and 9+ years or PhD/Doctorate and 7+ years

Experience in Data Engineering, DevOps, 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 (LangChain, RAG pipelines, vector databases like Pinecone, Weaviate, or FAISS)

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