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Principal Generative AI Scientist

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Apex Systems

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Location:
United States , McLean

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

80.00 - 95.73 USD / Hour
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Job Description:

We are hiring a Data Scientist Specialist! Role: Data Scientist Specialist (Principal GenAI Scientist). Supporting: Large Financial Services Client. Location: McLean, Virginia (Onsite). Assignment Type: Contract to Hire. Duration: 6 Months. Role Overview: We are seeking a senior-level Principal Generative AI Scientist to lead the design, development, and deployment of enterprise-grade GenAI solutions. This is a hands-on role for a seasoned expert who thrives in architecting AI agents, agentic workflows, and LLM-powered applications that solve complex, real-world problems. You will serve as a technical thought leader across GenAI initiatives, working closely with engineering, design, product, and data teams to build scalable, secure, and production-ready systems using state-of-the-art LLMs, RAG architectures, and AWS cloud services.

Job Responsibility:

  • Architect and implement AI agents, agentic workflows, and full-scale GenAI applications
  • Develop, fine-tune, and evaluate LLMs, including Claude, Azure OpenAI models, and open-source alternatives
  • Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG solutions using vector databases and knowledge bases
  • Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
  • Build and maintain Jupyter-based workflows using SageMaker, MLflow, Kubeflow, and Kubernetes (EKS)
  • Collaborate with UI, microservices, product, and data engineering teams to deliver end-to-end GenAI experiences
  • Integrate GenAI services via API-driven enterprise integration patterns
  • Establish evaluation frameworks, safety guardrails, bias mitigation, and validation processes for production deployment
  • Design and own data ingestion pipelines (extracting, chunking, enriching, anonymizing, and embedding data)
  • Orchestrate multimodal ETL/ELT pipelines and scalable ingestion workflows
  • Generate embeddings and integrate with vector stores to support advanced retrieval architectures

Requirements:

  • PhD in AI, Data Science, or a closely related field (required)
  • 10+ years of AI/ML experience, including 3+ years in applied Generative AI or LLM-based solutions
  • Strong experience with AWS cloud-native AI development, including SageMaker, Bedrock, and MLflow on EKS
  • Deep hands-on expertise with GenAI system design, RAG, agents, prompt engineering, and vector databases
  • Advanced Python skills with extensive use of Jupyter notebooks
  • Experience with Transformers, LangChain, or similar GenAI frameworks
  • Strong understanding of GenAI architectural patterns and best practices
  • GitHub repository link required demonstrating hands-on technical work

Nice to have:

  • Experience building and deploying AI agents using MCP, A2A, or Graph RAG
  • Publications or patents in AI, ML, or LLM-related domains
  • Experience with AI governance, ethics, and responsible AI frameworks
  • Familiarity with CI/CD, MLOps pipelines, and scalable inference APIs
What we offer:
  • Medical
  • dental
  • vision
  • life
  • disability
  • other insurance plans
  • ESPP (employee stock purchase program)
  • 401K program
  • HSA (Health Savings Account on the HDHP plan)
  • SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
  • corporate discount savings program and other discounts
  • on-demand training program
  • access to certification prep
  • library of technical and leadership courses/books/seminars
  • certification discounts and other perks to associations including CompTIA and IIBA
  • dedicated customer service team
  • certified Career Coach

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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