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
Bachelor's or Master's 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.