Principal Gen AI Scientist

McLean, MD - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Position Summary:

We are seeking a highly experienced Principal Gen AI Scientist with a strong focus on Generative AI (GenAI) to lead the design and development of cutting-edge AI Agents Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering Large Language Models (LLMs) RAG Graph RAG MCP A2A multi-modal AI Gen AI Patterns Evaluation Frameworks Guardrails data curation and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader working alongside full stack developers UX designers product managers and data engineers to shape and implement enterprise-grade Gen AI solutions.

Key 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 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 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

Required Qualifications:

* PhD in AI/Data Science or any related field

* 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.

Must Have:

At least 3-4 years of experience as data scientist
Must have hands on experience with machine learning transitioned into GenAI. Rag Python- Jupyter other Software knowledge using agents in workflows strong understanding of data.
MCP and Graph Rag are listed as nice to have but HM considers these Must Haves
Built AI agent MCP (highly preferred) A2A Graph Rag (highly preferred) deployed Gen AI applications to production

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

Position Summary: We are seeking a highly experienced Principal Gen AI Scientist with a strong focus on Generative AI (GenAI) to lead the design and development of cutting-edge AI Agents Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced pro...