Sr Gen AI / AI Lead with AWS
Vibotek LLC, St. Petersburg, FL, United States
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
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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
#J-18808-Ljbffr