AWS Bedrock Architect – Generative AI

Position: AWS Bedrock Architect – Generative AI Industry:

Information Technology (IT) Location:

Bay Area (CA), Dallas (TX), or New Jersey (USA) Type:

Full-Time Experience:

8–15 years 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

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