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Elvis Eckardt Recruitment & Sales Solutions Limited

Elvis Eckardt Recruitment & Sales Solutions Limited

via ZipRecruiter

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AWS Bedrock Architect Generative AI (Remote)

Anywhere
full-time
Posted 10/9/2025
Verified Source
Key Skills:
AWS Bedrock Agents
Serverless architectures (AWS Lambda, Fargate)
RAG architectures
Semantic search
Vector databases
AWS CDK/CloudFormation
Python
TypeScript
API Gateway

Compensation

Salary Range

$140K - 180K a year

Responsibilities

Architect and deploy scalable AI-powered solutions using AWS Bedrock Agents, serverless services, and RAG systems, including infrastructure automation and API management.

Requirements

Bachelor's degree, 1+ year experience with generative AI and AWS Bedrock, strong AWS serverless skills, Python and TypeScript proficiency, and located in Bay Area, Dallas, or New Jersey.

Full Description

Position: AWS Bedrock Architect Generative AI Industry: Information Technology (IT) Location: Bay Area (CA), Dallas (TX), or New Jersey (USA) Type: Full-Time Experience: 815 years Role Overview: 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 deep 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 RAG (Retrieval-Augmented Generation) 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. Eligibility: • Must be 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: Elvis Eckardt

This job posting was last updated on 10/11/2025

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