AWS Bedrock Architect – Generative AI

Elvis Eckardt Recruitment; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Elvis Eckardt Recruitment in San Francisco, CA seeks an AWS Bedrock Architect to design, deploy, and scale Generative AI systems using Bedrock, Lambda, Fargate, and API Gateway. You will implement robust, secure AI architectures and guide cross-functional teams in building AI-powered applications.

The ideal candidate has 8–15 years of hands-on IT/AI architecture experience, strong AWS Bedrock skills, and expertise in serverless, RAG, and data persistence across SQL/NoSQL stores.

Qualifications

• 8–15 years of hands-on IT/AI architecture experience.
• Hands-on experience deploying Generative AI and LLM-based solutions at scale on AWS.
• Proven expertise in architecting and deploying serverless applications on AWS.

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.

Skills

Architectural design

Cloud architecture

Team collaboration

Problem solving

Communication

Education

Bachelor's or Master’s degree in CS/IT or related field

Tools

AWS Bedrock

AWS Lambda

AWS Fargate

API Gateway

AWS CDK

CloudFormation

RDS/Aurora

DynamoDB

Python

TypeScript

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).

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