Principal GenAI Data Scientist

Company Description If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information. Arthur Grand Technologies is a leading provider of staffing and technology consulting services. Our company is managed by a team of professionals who have worked for big 5 consulting firms for 20+ years. We are a minority‑owned staff augmentation and technology consulting company. At Arthur Grand Technologies, we value our employees & contractors and strive to provide them with challenging, interesting work, market‑relevant benefits, and opportunities for professional growth. If you have the necessary qualifications, and are excited to join a dynamic team. Thank you for considering Arthur Grand Technologies. We look forward to hearing from you soon. Job Description Arthur Grand Technologies is currently seeking a highly motivated and skilled Principal GenAI Data Scientist for one of our clients. Position: Principal GenAI Data Scientist Duration: Long Term Contract Location: Mclean, VA – Onsite Description Client is seeking a highly experienced Principal GenAI Data Scientist to lead the design and development of AI agents, agentic workflows, and production GenAI applications that solve real business problems. You’ll be a hands‑on technical leader who partners with full‑stack engineers, designers, product managers, and data engineers to ship secure, reliable, and scalable GenAI solutions. Must‑Have Qualifications Hands‑on ML to GenAI transition with demonstrated delivery of AI agents/agentic workflows. Deep experience with RAG (documents to vectors, retrieval, synthesis) and Graph‑RAG. Strong Python (Jupyter) and modern ML stack (Transformers, LangChain/LlamaIndex or similar). Practical use of MCP and A2A communication patterns in real workflows. Cloud‑native AI on AWS (SageMaker, Bedrock; MLFlow/Kubeflow on EKS). Vector databases/knowledge bases (AWS Knowledge Bases/Bedrock, Elastic, MongoDB Atlas, etc.). Proven prompt engineering, fine‑tuning, evaluation frameworks, and guardrails/safety implementation. Built and deployed GenAI apps to production (latency, cost, observability, rollback, safety). Strong data engineering fundamentals: ingestion, chunking, enrichment, anonymization, and governance. Required Experience 10+ years in AI/ML with 3+ years focused on applied GenAI/LLM solutions. Prior software engineering experience and ability to partner closely with full‑stack teams. GitHub repository link required for consideration (please include recent GenAI/agent work). Preferred Qualifications Publications or patents in AI/ML/LLM. Experience with enterprise AI governance and ethical deployment. CI/CD for MLOps and scalable inference APIs; observability and evaluation in production. Experience designing business use cases from problem framing through measurable outcomes. Nice to Have (Role‑Aligned Extras) Multi‑modal models (text/image/audio/video) and tool‑use/function‑calling. Knowledge graphs for Graph‑RAG; retrieval policy and query planning. GenAI architectural patterns (routing, orchestration, distillation, hybrid search). About Arthur Grand Technologies: Arthur Grand Technologies is a leading provider of staffing and technology consulting services. Our company is managed by a team of professionals who have worked for big 5 consulting firms for 20+ years. We are a minority‑owned staff augmentation and technology consulting company. At Arthur Grand Technologies, we value our employees & contractors and strive to provide them with challenging, interesting work, market‑relevant benefits, and opportunities for professional growth. If you have the necessary qualifications, and are excited to join a dynamic team, please send your resume for immediate consideration. Additional Information All your information will be kept confidential according to EEO guidelines. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets). Contact: 44355 Premier Plaza, Suite 110, Ashburn, VA 20147 M: +1 (701)-786-6607#J-18808-Ljbffr