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$120k–$160k/yr
Full-time
bachelor degree, postgraduate degree
Posted 18d ago
~40 hrs/week
Responsibilities
The AI Software Engineer will architect and deploy RAG systems, LLM agents, and predictive analytics tools to solve enterprise data fragmentation. They will also collaborate with cross-functional teams to build interactive dashboards and ensure all solutions comply with DoD security regulations.
Requirements
Candidates must hold a Bachelor's or Master's degree in a technical field and possess 5+ years of experience in production-grade AI/ML systems. A U.S. Government Secret clearance or higher is mandatory, along with proficiency in Python, NLP frameworks, and modern data infrastructure.
Full job description
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.
Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced, secure AI-driven solutions supporting federal and defense enterprises. In this role, you will tackle enterprise data fragmentation by designing automated data ingestion pipelines, Retrieval-Augmented Generation (RAG) architectures, and predictive analytics tools.
You will directly address critical operational areas including HR workforce analytics, enterprise workflow automation, program management analytics, and automated scientific literature discovery.
Key Responsibilities:
Architect and implement Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM) agents to query, summarize, and synthesize insights across large volumes of structured and unstructured data.
Build semantic search engines capable of integrating internal legacy databases, data lakes, open-source repositories, and subscription-based scientific literature via APIs.
Implement natural language translation, automated document classification, and multi-document summarization to augment science and technology gap analysis.
Develop intelligent chatbots and virtual agents to deliver automated, role-based recommendations, career path mapping, and skills gap analysis for enterprise workforces.
Build NLP-driven tasking models to ingest natural language inquiries, query underlying enterprise data sources, and draft contextual responses with audit trails for records management compliance.
Design ML algorithms (including anomaly detection, predictive modeling, and causal inference) to identify project risks, optimize resource allocation, and forecast financial/technical shifts.
Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling natural language querying and drill-down analytics for leadership decision-making.
Design automated ingestion and ETL/ELT pipelines using NLP and pattern recognition to transform disparate data formats into a standardized, unified Data Fabric schema.
Implement robust Explainable AI (XAI) techniques to ensure transparency and trustworthiness of model recommendations.
Ensure all AI models, APIs, and data storage solutions strictly adhere to DoD security regulations (e.g., NIST, FedRAMP, Risk Management Framework) across multiple classification levels.
Required Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.
Experience: 5+ years of experience engineering production-grade AI/ML systems (or 3+ years with a Master's/Ph.D.).
NLP & LLMs: Hands-on experience fine-tuning, evaluating, and deploying open-source and proprietary LLMs, embedding models, and vector databases (e.g., Pinecone, Milvus, Qdrant, FAISS).
Programming & Frameworks: Proficiency in Python, PyTorch, TensorFlow, LangChain, LlamaIndex, and modern API frameworks (FastAPI, RESTful APIs).
Data Pipelines & Databases: Experience working with complex structured and unstructured data sources, SQL, NoSQL, graph databases, and data lakes.
Security Clearance: Must hold an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access.
Preferred Qualifications:
Experience deploying AI applications within DoD, Air Force, or Federal agency environments (CAC/PKI integration, IL4/IL5/IL6 cloud environments).
Proven track record building XAI (Explainable AI) architectures for leadership decision support.
Background in developing AI solutions for HR systems, workflow management software, or scientific/academic literature indexing.
Experience with cloud platforms (AWS GovCloud, Azure Government) and containerized deployment technologies (Docker, Kubernetes).
Core Competencies:
System Integration: Ability to connect AI models with existing legacy software, APIs, and document management systems seamlessly.
Problem Solving: Aptitude for turning complex, noisy, multi-dimensional data into intuitive, actionable insights.
Communication: Ability to communicate technical AI concepts clearly to non-technical stakeholders, scientific subject matter experts, and executive leadership.
Position Clearance Requirement:
US Citizenship with an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access.
Location: Chantilly/Herndon, VA.
Target Salary Range: $120,000.00 – $160,000.00 (Commensurate with specialized expertise and technical skillset).
Equal Opportunity Employer:
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Related keywords
AI Software EngineerRAGLLMNLPPythonPyTorchTensorFlowLangChainLlamaIndexFastAPIData FabricETLELTExplainable AIDoDNIST
Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. By combining the most innovative emerging technologies with deep federal domain expertise, Dark Wolf operates at the nexus of technical innovation and mission needs.
Offices: 13454 Sunrise Valley Dr, Suite 550, Herndon, Virginia 20171, US · 980 Elkton Dr, Colorado Springs, Colorado 80907, US · 100 North Point Center, Alpharetta, Georgia 30022, US · 3906 Raynor Pkwy, Suite 301, Bellevue, Nebraska 68123, US · 1412 Legend Hills Dr, Clearfield, Utah 84015, US
Based on 805 listings with disclosed salaries, most technology jobs in Herndon, VA pay between $99k–$210k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Herndon, VA right now?
There are currently 963 open technology positions in Herndon, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Herndon, VA?
Companies currently hiring include Amazon, Peraton, General Dynamics Information Technology, Dark Wolf, Booz Allen Hamilton, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Herndon, VA?
Yes — 195 of the 963 open technology positions offer remote or hybrid work (65 remote, 130 hybrid).
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