Apex Systems
Overview
Data Scientist Specialist at Apex Systems. Location: McLean, VA (On-site, Monday–Friday). Assignment Type: Contract Only. Compensation Rate: $87.50–$103.50/hr (Firm). Job Description
Data Scientist Specialist with focus on Generative AI (GenAI) to lead design and development of AI Agents, Agentic Workflows, and GenAI Applications for enterprise environments. Requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Graph RAG, multi-modal AI, data curation, and AWS cloud deployments. Collaborates with cross-functional teams to shape and implement GenAI solutions. Key Responsibilities
Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Develop, fine-tune, and optimize lightweight LLMs; evaluate models like Claude (Anthropic), Azure OpenAI, and open-source alternatives Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases Curate enterprise data using connectors integrated with AWS Bedrocks Knowledge Base/Elastic Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS) Collaborate with cross-functional teams to build full-stack GenAI experiences Integrate GenAI solutions with enterprise platforms via API-based methods and standardized patterns Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Design and build robust ingestion pipelines for extracting, chunking, enriching, and anonymizing data from PDFs, video, and audio Orchestrate multimodal pipelines using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows Implement embeddings to map media content to vector representations and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) Required Qualifications
PhD in AI/Data Science 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS) Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.) Deep understanding of GenAI system patterns and architectural best practices Experience with Evaluation Frameworks and production-ready deployment standards Demonstrated ability to work in cross-functional agile teams GitHub Code Repository link required for each candidate Preferred Qualifications
Published contributions or patents in AI/ML/LLM domains Hands-on experience with enterprise AI governance and ethical deployment frameworks Familiarity with CI/CD practices for ML Ops and scalable inference APIs Equal Employment Opportunity
EEO Employer. Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, marital status, disability, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with applicable law. If you require an accommodation in using our website for a search or application, please contact our Employee Services Department. Benefits Overview
Apex Systems offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans. We offer an ESPP and a 401K program with company match after 12 months. Other benefits include HSA, EAP with counseling, discounts, and ongoing professional development opportunities. Details are provided in the Welcome Packet and via the Benefits resources.
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Data Scientist Specialist at Apex Systems. Location: McLean, VA (On-site, Monday–Friday). Assignment Type: Contract Only. Compensation Rate: $87.50–$103.50/hr (Firm). Job Description
Data Scientist Specialist with focus on Generative AI (GenAI) to lead design and development of AI Agents, Agentic Workflows, and GenAI Applications for enterprise environments. Requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Graph RAG, multi-modal AI, data curation, and AWS cloud deployments. Collaborates with cross-functional teams to shape and implement GenAI solutions. Key Responsibilities
Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Develop, fine-tune, and optimize lightweight LLMs; evaluate models like Claude (Anthropic), Azure OpenAI, and open-source alternatives Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases Curate enterprise data using connectors integrated with AWS Bedrocks Knowledge Base/Elastic Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS) Collaborate with cross-functional teams to build full-stack GenAI experiences Integrate GenAI solutions with enterprise platforms via API-based methods and standardized patterns Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Design and build robust ingestion pipelines for extracting, chunking, enriching, and anonymizing data from PDFs, video, and audio Orchestrate multimodal pipelines using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows Implement embeddings to map media content to vector representations and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) Required Qualifications
PhD in AI/Data Science 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS) Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.) Deep understanding of GenAI system patterns and architectural best practices Experience with Evaluation Frameworks and production-ready deployment standards Demonstrated ability to work in cross-functional agile teams GitHub Code Repository link required for each candidate Preferred Qualifications
Published contributions or patents in AI/ML/LLM domains Hands-on experience with enterprise AI governance and ethical deployment frameworks Familiarity with CI/CD practices for ML Ops and scalable inference APIs Equal Employment Opportunity
EEO Employer. Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, marital status, disability, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with applicable law. If you require an accommodation in using our website for a search or application, please contact our Employee Services Department. Benefits Overview
Apex Systems offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans. We offer an ESPP and a 401K program with company match after 12 months. Other benefits include HSA, EAP with counseling, discounts, and ongoing professional development opportunities. Details are provided in the Welcome Packet and via the Benefits resources.
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