AI Software Engineer
Darkwolfsolutions · Chantilly/Herndon, VA
About this role
**Dark Wolf** constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re seeking a **Senior AI Engineer** to architect, build, and deploy advanced, secure AI-driven solutions for federal and defense enterprises. In this role, you’ll tackle enterprise data fragmentation by designing automated data ingestion pipelines, **Retrieval-Augmented Generation (RAG)** architectures, and **predictive analytics** tools—supporting mission-critical operational areas such as HR workforce analytics, enterprise workflow automation, program management analytics, and automated scientific literature discovery. --- ## Key Responsibilities - Architect and implement **RAG systems** and **LLM agents** to query, summarize, and synthesize insights across large volumes of structured and unstructured data. - Build **semantic search** engines 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 support science and technology gap analysis. - Develop intelligent **chatbots and virtual agents** for automated, role-based recommendations, career path mapping, and skills gap analysis. - Build **NLP-driven tasking models** to ingest natural language inquiries, query enterprise data sources, and draft contextual responses with **audit trails** for records management compliance. - Develop ML algorithms (e.g., **anomaly detection**, predictive modeling, **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. - Design automated **ingestion** and **ETL/ELT pipelines** using NLP and pattern recognition to transform disparate data formats into a standardized **Data Fabric** schema. - Implement robust **Explainable AI (XAI)** techniques to ensure transparency and trustworthiness. - 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 engineering production-grade AI/ML systems (or 3+ years with a Master’s/Ph.D.). *(Additional qualification details were truncated in the provided description.)*
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