The Role
Leads the research, design, development, and deployment of production AI, ML, GenAI, and LLM systems supporting operational cyber missions. Responsibilities include building scalable models and pipelines, implementing MLOps, vector and graph data architectures, retrieval and agentic workflows, full-stack integrations, data governance, access controls, and secure deployments across cloud, air-gapped, hybrid, and on-premises environments. Provides technical mentorship and engineering standardization while working onsite in Chantilly, Virginia.
Summary Generated by Built In
Be Challenged and Make a Difference
In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.
Description of Task to be Performed:
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.
Key Responsibilities Include:
- 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.
Required Qualifications:
- 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.
Preferred Qualifications:
- 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.
Benefits
- Generous cost sharing for medical insurance for the employee and dependents
- 100% company paid dental insurance for employees and dependents
- 100% company paid long-term and short-term disability insurance
- 100% company paid vision insurance for employees and dependents
- 401k plan with generous match and 100% immediate vesting
- Competitive Pay
- Generous paid leave and holiday package
- Tuition and training reimbursement
- Life and AD&D Insurance
About AnaVation
AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team.
If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you!
AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Skills Required
- Active Top Secret clearance with eligibility for SCI access and ability to obtain a CI polygraph
- Bachelor's 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, multimodal orchestration, reasoning, memory, and tool execution
- Proficiency with PyTorch, TensorFlow, scikit-learn, cloud platforms, and MLOps tools such as MLflow, Azure ML, or Vertex AI
- Experience implementing NLP, computer vision, reinforcement learning, temporal, spatial, geographic, or quantitative AI capabilities
- Experience with named entity recognition, contextual entity extraction, and entity resolution
- Experience developing retrieval and structured-output workflows with source citations, provenance, and traceable analytic results
- Expertise in vector, graph, and relational database architecture, ETL pipelines, data scheduling, parsing, ingestion, and normalization
- Experience implementing data-layer attribute-based access control and end-to-end data lineage tracking
- Experience supporting air-gapped, hybrid, and on-premises environments, GPU servers, hyperconverged infrastructure, container orchestration, distributed systems, and multitenant Cross-Domain Solutions
- Proficiency in full-stack development and integration using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes
- Experience delivering and maintaining solutions in agile engineering environments
- 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
- Ability to work onsite in Chantilly, Virginia
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The Company
What We Do
AnaVation is a trusted partner that delivers high-value, cost-effective solutions to solve our customers’ most complex technical and analytical problems. AnaVation believes that the future of securing, collecting, processing, and analyzing cyber data will require the development of advanced ANAlytical technologies derived via the innoVATION of current and future technologies. AnaVation believes in the “Idea of the Possible” — that it is possible for our experts, partnering with our customers in the right environment, to create innovative technical solutions that expand our customers’ capabilities. We want to do two things for our customers. We want to resolve existing challenges and we want to prepare them for the future. Our technical expertise and innovative engineering culture enable us to do those things.
