Elvis Eckardt Recruitment
AWS Bedrock Architect – Generative AI
Elvis Eckardt Recruitment, San Francisco, California, United States, 94199
Overview
Position: AWS Bedrock Architect – Generative AI
Industry: Information Technology (IT) · Type: Full-Time · Experience: 8–15 years
We are seeking an AWS Bedrock Architect with proven experience designing and deploying Generative AI and LLM-based solutions at scale. The ideal candidate will have hands-on expertise with AWS Bedrock Agents, serverless architectures, and AI-driven system design using AWS native services.
You’ll be responsible for building robust, scalable, and secure AI systems leveraging Bedrock, Lambda, Fargate, API Gateway, and modern Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities
Architect and deploy AI-powered solutions using AWS Bedrock Agents, including action groups, orchestration, and knowledge bases.
Design and implement RAG systems integrated with vector databases and semantic search.
Build serverless applications leveraging AWS Lambda (Python) and event-driven architecture.
Develop and manage REST and WebSocket APIs via AWS API Gateway with custom authorizers.
Utilise AWS Fargate for containerised workloads and long-running agent processes.
Automate infrastructure provisioning using AWS CDK (TypeScript/Python) and CloudFormation.
Manage data persistence across SQL (RDS, Aurora) and NoSQL (DynamoDB) environments.
Apply prompt engineering and agent reasoning principles for AI workflow optimisation.
Implement CI/CD pipelines for serverless and container deployments.
Collaborate cross-functionally to explain and evangelise complex AI architectures.
Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related technical field.
Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
Proven expertise in architecting and deploying serverless applications on AWS at scale.
Hands-on experience with AWS Bedrock Agents in production environments.
Deep understanding of RAG architectures, semantic search, and vector databases.
Strong background in AWS CDK/CloudFormation, Lambda, Fargate, and API Gateway.
Proficiency in Python and TypeScript.
Excellent problem-solving skills and communication abilities.
Nice to Have
Familiarity with agentic workflows and advanced function-calling models.
Experience with AI observability, model evaluation, and performance tuning.
Background in distributed systems or cloud-native AI product development.
Currently located in the Bay Area, Dallas, or New Jersey.
Open to all valid work authorisations (except OPT).
Stable career history (no frequent job changes).
Application Process To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply.
Contact Contact: Elvis Eckardt
#J-18808-Ljbffr
Industry: Information Technology (IT) · Type: Full-Time · Experience: 8–15 years
We are seeking an AWS Bedrock Architect with proven experience designing and deploying Generative AI and LLM-based solutions at scale. The ideal candidate will have hands-on expertise with AWS Bedrock Agents, serverless architectures, and AI-driven system design using AWS native services.
You’ll be responsible for building robust, scalable, and secure AI systems leveraging Bedrock, Lambda, Fargate, API Gateway, and modern Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities
Architect and deploy AI-powered solutions using AWS Bedrock Agents, including action groups, orchestration, and knowledge bases.
Design and implement RAG systems integrated with vector databases and semantic search.
Build serverless applications leveraging AWS Lambda (Python) and event-driven architecture.
Develop and manage REST and WebSocket APIs via AWS API Gateway with custom authorizers.
Utilise AWS Fargate for containerised workloads and long-running agent processes.
Automate infrastructure provisioning using AWS CDK (TypeScript/Python) and CloudFormation.
Manage data persistence across SQL (RDS, Aurora) and NoSQL (DynamoDB) environments.
Apply prompt engineering and agent reasoning principles for AI workflow optimisation.
Implement CI/CD pipelines for serverless and container deployments.
Collaborate cross-functionally to explain and evangelise complex AI architectures.
Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related technical field.
Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
Proven expertise in architecting and deploying serverless applications on AWS at scale.
Hands-on experience with AWS Bedrock Agents in production environments.
Deep understanding of RAG architectures, semantic search, and vector databases.
Strong background in AWS CDK/CloudFormation, Lambda, Fargate, and API Gateway.
Proficiency in Python and TypeScript.
Excellent problem-solving skills and communication abilities.
Nice to Have
Familiarity with agentic workflows and advanced function-calling models.
Experience with AI observability, model evaluation, and performance tuning.
Background in distributed systems or cloud-native AI product development.
Currently located in the Bay Area, Dallas, or New Jersey.
Open to all valid work authorisations (except OPT).
Stable career history (no frequent job changes).
Application Process To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply.
Contact Contact: Elvis Eckardt
#J-18808-Ljbffr