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Sr Gen AI​/AI Lead AWS

Job in Saint Petersburg, Pinellas County, Florida, 33739, USA
Listing for: Data Freelance Hub
Full Time position
Listed on 2026-03-13
Job specializations:
  • Software Development
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr Gen AI / AI Lead with AWS

This role is for a Sr Gen AI / AI Lead with AWS, requiring 12+ years of experience, located in St. Petersburg, Florida. Key skills include Amazon Bedrock, AWS architecture, and data engineering. AWS certifications and Python experience preferred. Contract length and pay rate unspecified.

Position:
Senior GenAI / AI Lead with AWS Experience

12+ Years

Location:

St. Petersburg, Florida Openings: 2

Looking for a Senior GenAI / AI Lead with strong expertise in Amazon Bedrock and AWS architecture to design and lead enterprise-grade Generative AI solutions. The role involves building scalable GenAI architectures, AI data pipelines, and RAG-based systems while ensuring security, scalability, and cost optimization.

Key Responsibilities:
  • Design end-to-end GenAI solutions using Amazon Bedrock and Agent Core
  • Architect multi-agent workflows, RAG systems, embeddings, and knowledge bases
  • Build and manage AI data pipelines and ingestion workflows using AWS services
  • Implement vector databases using Open Search or DynamoDB
  • Design event-driven and microservices architectures on AWS
  • Provide technical leadership, architecture reviews, and stakeholder guidance
Required Skills:
  • 8+ years of AWS cloud architecture experience
  • Hands‑on with Amazon Bedrock (Agents, Agent Core, Guardrails, Knowledge Bases)
  • Strong knowledge of GenAI design patterns (RAG, prompt engineering, agent orchestration)
  • Experience with AWS services such as Lambda, API Gateway, S3, Dynamo

    DB, Open Search, Glue, Step Functions, Event Bridge, IAM, and Cloud Watch
  • Solid background in data engineering, ETL/ELT pipelines, and data lake architectures
Preferred:
  • AWS certifications (Solutions Architect preferred)
  • Python development experience
  • Knowledge of vector search technologies and MLOps practices

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