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# AI Engineer SME

- **Company:** AnaVation, LLC
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LanceDB, Artificial Intelligence, Amazon Web Services, Computer Vision, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Extract Transform Load (ETL), Relational Databases, Distributed Computing Environment, Distributed Systems, Middleware, Design of User Interfaces, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, Named Entity Recognition, Systems Development Life Cycle, Tensorflow, Azure Machine Learning, Scaled Agile Framework, Secure Coding, TypeScript, Unstructured Data, Web Analytics, Reinforcement Learning, Scripting, Pytorch, ReactJS, Delivery Pipeline, Large Language Models, Hyperconverged Infrastructure, Generative AI, Backend, Fastapi, Containerization, Scikit Learn, Kubernetes, Data Lineage, Machine Learning Operations, Api Design, Docker, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-sme-chantilly-va--fdc96c42-c2b0-4d55-96df-2e0b3f165663

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Web Analytics, Operational Audit, Scalable System Development, Microservices, Python Programming/Scripting Language, Continuous Integration, Continuous Deployment/Delivery, Documentation, * Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.

 * Bachelor's degree or master's degree with 10 years of experience specializing in AI/ML engineering
 * Hands-on experience deploying production AI/GenAI and LLM systems, including embeddings, multi-model and multimodal orchestration, reasoning, memory, and tool execution.
 * Proficiency with PyTorch, TensorFlow, scikit-learn, and cloud platforms (AWS, Azure, or GCP), with practical MLOps experience using MLflow, Azure ML, or Vertex AI.
 * Experience implementing NLP, computer vision, reinforcement learning, temporal, spatial, geographic, or quantitative AI capabilities, including named entity recognition, contextual entity extraction, and entity resolution.
 * Experience developing multi-step retrieval and structured output workflows with source citations, provenance, and traceable analytic results.
 * Expertise in data architecture integrating vector, graph, and relational databases, including automated ETL pipeline development, scheduling, optimization, complex parsing, and schema-aligned ingestion and normalization of structured and unstructured data.
 * Experience implementing data-layer Attribute-Based Access Control (ABAC) and end-to-end data lineage tracking.
 * Experience supporting air-gapped, hybrid, and on-premises environments, including locally hosted GPU servers, hyperconverged infrastructure, container orchestration, distributed systems, and multitenant Cross-Domain Solutions (CDS).
 * Proficiency in full-stack application development and integration using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes to connect user interfaces, backend services, middleware, retrieval systems, databases, and AI/GenAI services.
 * Experience delivering and maintaining solutions in agile engineering environments.
 * Requires an active Top Secret (TS) clearance and the ability to obtain SCI access with a CI polygraph.
 * Requires the ability to work on-site in Chantilly, VA., * Experience in federal, defense, or highly regulated environments.
 * Knowledge of ethical AI, governance frameworks, and secure development practices.
 * Skills in large-scale optimization, GPU acceleration, or distributed training.
 * Experience building APIs, microservices, and automated ML workflows.

Please note: The listed salary range reflects our market-based compensation structure. Final compensation will depend on business needs, local market conditions, internal equity, and the selected candidate's skills, education, and experience.

## Description

AnaVation is seeking a highly skilled AI Engineer to join our high-performing team and lead the research, design, development, and execution of specialized operational and analytic cyber capabilities in support of real-world missions., * Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.

 * Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit learn.
 * Deploy and manage models with MLOps, CI/CD, containerization, and monitoring frameworks.
 * Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.
 * Optimize models for accuracy, latency, cost, and scalability across distributed environments.
 * Ensure AI governance, documentation, ethical compliance, and secure posture alignment.
 * Provide technical mentorship and drive cross-team engineering standardization.

This position requires an active Top Secret (TS) clearance and the ability to obtain SCI access with a CI polygraph. This position is on-site in Chantilly, VA.