AWS Bedrock Architect – Generative AI

Elvis Eckardt Recruitment; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

An IT recruitment firm is seeking an AWS Bedrock Architect to design and deploy Generative AI solutions. The role requires expertise in AWS services, serverless architectures, and strong problem-solving skills. Ideal candidates should have experience with AWS Bedrock Agents and possess relevant technical degrees. This is a full-time position based in San Francisco, aiming to build scalable AI systems.

Qualifications

• Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
• Proven expertise in architecting and deploying serverless applications on AWS.
• Hands-on experience with AWS Bedrock Agents in production environments.

Responsibilities

• Architect and deploy AI-powered solutions using AWS Bedrock Agents.
• Design and implement RAG systems integrated with vector databases.
• Build serverless applications leveraging AWS Lambda.

Skills

Generative AI

AWS Bedrock Agents

Serverless architectures

AWS CDK

Python

TypeScript

Problem-solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS Lambda

AWS Fargate

API Gateway

CloudFormation

Job description

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