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Convergenz · 1 day ago

Principal Data Scientist

McLean, VA

Contract

Onsite

Lead/Staff

$85/hr - $110/hr

10+ years exp

Convergenz is seeking a highly experienced Principal Gen AI Scientist with a strong focus on Generative AI to lead the design and development of cutting-edge AI Agents and Gen AI Applications. The role involves architecting and implementing scalable AI solutions to address complex business challenges and collaborating with cross-functional teams to deliver enterprise-grade Gen AI solutions.

Human ResourcesStaffing Agency

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Shashi T.

Responsibilities

Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases

Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as 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 Bedrock's 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 of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences

Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns

Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment

Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows—leveraging best practices like semantic chunking and privacy controls

Orchestrate multimodal pipelines using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media

Implement embeddings drives—map media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures

Qualification

Generative AIPrompt EngineeringLarge Language ModelsAWS Cloud DeploymentsData CurationMulti-modal AIEvaluation FrameworksPythonAI GovernanceCI/CD PracticesCross-functional Collaboration

Required

MS/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 (e.g., AWS KnowledgeBase / Elastic), 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 Gen AI system patterns and architectural best practices, Evaluation Frameworks

Demonstrated ability to work in cross-functional agile teams

Need GitHub Code Repository Link for each candidate. Please thoroughly vet the candidates

Preferred

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

Company

Convergenz

Convergenz is a staffing and recruiting company providing contract, contract-to-hire, and permanent placement services.

Founded in 2000

Vienna, Virginia, USA

201-500 employees

http://conv.com

H1B Sponsorship

Convergenz has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (2)

2024 (1)