Data Scientist Specialist

## Job Description# Data Scientist SpecialistWe are seeking a highly experienced **Data Scientist Specialist** with deep expertise in **Generative AI (GenAI)** to lead the design and development of advanced **AI Agents, agentic workflows, and GenAI applications** that solve complex enterprise challenges.This is a **hands-on, onsite role in McLean, VA**, requiring strong technical leadership across LLMs, RAG/GraphRAG, multi‑modal AI, agentic architectures, evaluation frameworks, and AWS-native AI platforms. You will collaborate closely with full-stack engineers, UX designers, product managers, and data engineers to deliver **production-grade GenAI solutions** at scale. If you or anyone you know would be interested in this position or would like to know more, please apply now or send all resumes to kiveyrussell@apexsystems.com* **Architect and implement GenAI systems:*** Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases.* **Model development & optimization:*** Fine-tune and optimize lightweight LLMs; evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives.* **RAG & GraphRAG architectures:*** Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases.* **Enterprise data curation:*** Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch.* **Agent interoperability:*** Implement solutions leveraging **Model Context Protocol (MCP)** and **Agent-to-Agent (A2A)** communication patterns.* **Experimentation & ML platforms:*** Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS).* **Cross-functional collaboration:*** Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences.* **Enterprise integration:*** Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns.* **Evaluation & safety:*** Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment.* **Data ingestion & preprocessing:*** Build ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio using semantic chunking and privacy controls.* **Multimodal ETL orchestration:*** Orchestrate multimodal pipelines using Apache Spark, PySpark, or similar frameworks for automated ETL/ELT workflows.* **Embeddings & vector search:*** Implement embedding-driven architectures and integrate with vector stores (AWS Knowledge Bases, Elasticsearch, MongoDB Atlas) to support RAG and agentic systems.* Bachelor’s or Master’s degree in **AI, Data Science, Computer Science, or related field**.* Deep expertise in **prompt engineering, fine-tuning, RAG, GraphRAG, vector databases**, and multi-modal models.* Proven experience with **AWS cloud-native AI development** (SageMaker, Bedrock, MLFlow/Kubeflow on EKS).* Strong programming skills in **Python** and ML/LLM libraries (Transformers, LangChain, etc.).* Strong understanding of **GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails**.* Demonstrated success working in **cross-functional, agile teams**.* **GitHub code repository link required** for candidate evaluation.- Extensive experience in AI/ML, including **3+ years** in applied **GenAI or LLM-based solutions**.* Published research, conference contributions, or patents in AI/ML/LLM domains.* Experience with **enterprise AI governance**, responsible AI, and ethical deployment frameworks.* Familiarity with **MLOps**, CI/CD pipelines, and scalable inference APIs.*Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click*

*for more details.* #J-18808-Ljbffr