Vibotek LLC

Sr Gen AI / AI Lead with AWS

⭐ - Featured Role | Apply direct with Data Freelance Hub
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.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 10, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Saint Petersburg, FL
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🧠 - Skills detailed
#DynamoDB #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Leadership #Cloud #API (Application Programming Interface) #Microservices #Python #Scala #Data Lake #Data Pipeline #Databases #AI (Artificial Intelligence) #IAM (Identity and Access Management) #Data Engineering #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #OpenSearch #Security
Role description
Position: Senior GenAI / AI Lead with AWS Experience: 12+ Years Location: St. Petersburg, Florida Openings: 2 Role Summary: 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 AgentCore 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 OpenSearch 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, AgentCore, Guardrails, Knowledge Bases) Strong knowledge of GenAI design patterns (RAG, prompt engineering, agent orchestration) Experience with AWS services such as Lambda, API Gateway, S3, DynamoDB, OpenSearch, Glue, Step Functions, EventBridge, IAM, and CloudWatch 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