| Principal Gen AI Scientist at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3357572&uid=b986e043608443a89ebfc42cfd0b72fc From: Mohsin, vyzeinc [email protected] Reply to: [email protected] Job Description - Principal Gen AI Scientist Need Local fits - - as its F2F - good to have banking & finance experience Location: Onsite, 5 days/week McLean, VA Duration: Through end of year, strong chance of extension The second interview will be held onsite Required Skills: Lead design and development of AI Agents, Agentic Workflows, and Gen AI Applications Focus on Generative AI (GenAI), Prompt Engineering, LLMs, RAG, Graph RAG, MCP, A2A, multi-modal AI, Evaluation Frameworks, Guardrails, data curation, AWS cloud deployments Serve as a hands-on Gen AI (data) scientist and thought leader Collaborate with developers, UX designers, product managers, and data engineers to deliver enterprise-grade Gen AI solutions Required Qualifications: PhD in AI/Data Science *(Preferred) 10+ years in AI/ML, with 3+ years in applied GenAI/LLM solutions Expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, multi-modal models Cloud-native AI development experience (AWS SageMaker, Bedrock, MLFlow on EKS) Strong Python and ML libraries (Transformers, LangChain, etc.) Deep understanding of Gen AI system patterns, Evaluation Frameworks Proven ability to work in cross-functional agile teams Github Code Repository Link required for each candidate 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 Key Responsibilities: Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Develop, fine-tune, and optimize lightweight LLMs; evaluate/adapt Claude, Azure OpenAI, and open-source models Design and deploy RAG and Graph RAG systems using vector databases and knowledge bases Curate enterprise data with AWS Bedrock Knowledge Base/Elastic connectors Implement MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication Build and maintain Jupyter notebooks using SageMaker, MLFlow/Kubeflow on EKS Collaborate with UI/microservice engineers, designers, and data engineers for full-stack Gen AI experiences Integrate GenAI solutions with enterprise platforms via APIs and standardized patterns Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Design/build ingestion pipelines for PDFs, video, audio with semantic chunking and privacy controls Orchestrate multimodal pipelines using Spark/PySpark for ETL/ELT workflows on unstructured media Implement embeddings mapping media content to vector representations; integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) Keywords: continuous integration continuous deployment artificial intelligence machine learning user interface user experience information technology Virginia Principal Gen AI Scientist [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3357572&uid=b986e043608443a89ebfc42cfd0b72fc |
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| 01:12 AM 08-May-26 |