Job Title: AWS Bedrock & Generative AI Architect
Location: Bay Area CA (Onsite)
Experience: 8 years (minimum 1 year in Generative AI/LLM)
Employment Type: Full-time
Note: Local candidates only. No job hoppers.
Job Summary
We are seeking a highly skilled AWS Bedrock & Generative AI Architect with deep expertise in designing and deploying scalable AI-driven solutions using AWS cloud services. The ideal candidate will have strong experience with Bedrock Agents RAG architectures and serverless AWS applications along with a solid foundation in Python infrastructure automation and modern data integration patterns.
Key Responsibilities
- Design and implement AI solutions leveraging AWS Bedrock Agents including action groups knowledge bases and orchestration patterns.
- Architect and extend Retrieval-Augmented Generation (RAG) systems into agentic workflows.
- Develop scalable event-driven applications using AWS Lambda (Python).
- Build and manage APIs with AWS API Gateway (REST & WebSocket) and custom authorizers.
- Deploy and manage containerized workloads on AWS Fargate.
- Automate infrastructure using AWS CDK (TypeScript/Python) and CloudFormation.
- Integrate vector databases and semantic search into Bedrock knowledge bases.
- Work with SQL (RDS Aurora) and NoSQL (DynamoDB) databases.
- Apply prompt engineering function calling and agent reasoning in AI workflows.
- Implement CI/CD pipelines for serverless and container deployments.
- Collaborate with cross-functional teams to communicate complex AI architectures clearly and effectively.
Qualifications
- Bachelors or Masters in Computer Science IT or related field.
- 1 year of hands-on experience with Generative AI and LLM-based solutions.
- Proven experience architecting and deploying serverless applications on AWS at scale.
- Demonstrated expertise in RAG systems and agent-based architectures.
- Strong background in AWS CDK/CloudFormation and multi-service deployments.
- Experience working with AWS Bedrock Agents in production environments.
- Excellent analytical problem-solving and communication skills.
Preferred Skills
- Experience with AI orchestration semantic search and data pipelines.
- Familiarity with LangChain Vector Databases (e.g. Pinecone FAISS) or OpenSearch.
- Strong ability to translate business requirements into AI-driven technical architectures.
Job Title: AWS Bedrock & Generative AI Architect Location: Bay Area CA (Onsite) Experience: 8 years (minimum 1 year in Generative AI/LLM) Employment Type: Full-time Note: Local candidates only. No job hoppers. Job Summary We are seeking a highly skilled AWS Bedrock & Generative AI Architect with ...
Job Title: AWS Bedrock & Generative AI Architect
Location: Bay Area CA (Onsite)
Experience: 8 years (minimum 1 year in Generative AI/LLM)
Employment Type: Full-time
Note: Local candidates only. No job hoppers.
Job Summary
We are seeking a highly skilled AWS Bedrock & Generative AI Architect with deep expertise in designing and deploying scalable AI-driven solutions using AWS cloud services. The ideal candidate will have strong experience with Bedrock Agents RAG architectures and serverless AWS applications along with a solid foundation in Python infrastructure automation and modern data integration patterns.
Key Responsibilities
- Design and implement AI solutions leveraging AWS Bedrock Agents including action groups knowledge bases and orchestration patterns.
- Architect and extend Retrieval-Augmented Generation (RAG) systems into agentic workflows.
- Develop scalable event-driven applications using AWS Lambda (Python).
- Build and manage APIs with AWS API Gateway (REST & WebSocket) and custom authorizers.
- Deploy and manage containerized workloads on AWS Fargate.
- Automate infrastructure using AWS CDK (TypeScript/Python) and CloudFormation.
- Integrate vector databases and semantic search into Bedrock knowledge bases.
- Work with SQL (RDS Aurora) and NoSQL (DynamoDB) databases.
- Apply prompt engineering function calling and agent reasoning in AI workflows.
- Implement CI/CD pipelines for serverless and container deployments.
- Collaborate with cross-functional teams to communicate complex AI architectures clearly and effectively.
Qualifications
- Bachelors or Masters in Computer Science IT or related field.
- 1 year of hands-on experience with Generative AI and LLM-based solutions.
- Proven experience architecting and deploying serverless applications on AWS at scale.
- Demonstrated expertise in RAG systems and agent-based architectures.
- Strong background in AWS CDK/CloudFormation and multi-service deployments.
- Experience working with AWS Bedrock Agents in production environments.
- Excellent analytical problem-solving and communication skills.
Preferred Skills
- Experience with AI orchestration semantic search and data pipelines.
- Familiarity with LangChain Vector Databases (e.g. Pinecone FAISS) or OpenSearch.
- Strong ability to translate business requirements into AI-driven technical architectures.
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