AWS AI Architect (AWS Bedrock Expertise)

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Role: AWS AI Architect (AWS Bedrock Expertise)

Location: Seattle WA or Miami FL (Hybrid)

Contract Role

Position Overview

We are seeking an experienced AWS AI Architect with deep hands on expertise in Amazon Bedrock to design architect and implement end to end Generative AI and LLM powered solutions. The ideal candidate will combine strong cloud architecture skills with applied AI knowledge to build scalable secure enterprise-grade AI platforms and applications on AWS.

Key Responsibilities:

AI & Solution Architecture:

Design and architect Generative AI solutions using Amazon Bedrock including model selection orchestration security and deployment.
Build Retrieval-Augmented Generation (RAG) pipelines using Amazon OpenSearch Aurora ML Vector Engine DynamoDB or 3rd party vector databases.
Evaluate foundation models (Claude Llama Amazon Titan Cohere Command) and recommend the right model per use case.
Architect multi-agent GenAI systems using Bedrock Agents and Bedrock Knowledge Bases.
Develop end to end AI workflows using Lambda Step Functions API Gateway and other serverless components.

Model Development & Engineering:

Implement prompt engineering prompt optimization and evaluation frameworks.
Customize and fine tune LLMs through Bedrock Fine Tuning workflows.
Create reusable GenAI components patterns and accelerators for enterprise adoption.
Integrate Bedrock with enterprise data lakes APIs and backend systems.

Data & Integration:

Build scalable ingestion and preprocessing pipelines using Glue S3 EMR Redshift Kinesis etc.
Architect secure access patterns using IAM VPC PrivateLink KMS and guardrails for responsible AI.
Implement observability governance and monitoring using CloudWatch CloudTrail and SageMaker MLOps.

Leadership & Collaboration:

Lead architecture reviews technical deep dives and PoCs across business units.
Work closely with product engineering and business teams to translate needs into scalable AI solutions.
Mentor teams on GenAI Bedrock best practices and AWS architecture standards.

Required Skills & Qualifications:

7 years of experience in cloud architecture (AWS preferred).
3 years of hands-on experience in AI/ML with at least 1 2 years in Generative AI solutions.
Strong expertise with Amazon Bedrock (mandatory).
Experience with major foundation models (Claude Llama Titan Cohere).
Strong command of Python API-based integrations and serverless application development.
Proven experience implementing RAG architectures at scale.
Deep understanding of cloud security networking and identity (IAM KMS VPC).
Hands-on with vector databases and embedding strategies.
AWS certifications preferred:
- AWS Certified Solutions Architect Professional
- AWS Certified Machine Learning Specialty

Preferred Qualifications:

Experience with SageMaker EKS or ECS for model deployment and experimentation.
Understanding of responsible AI content filters and enterprise guardrails.
Background in building enterprise copilots chatbots and document intelligence solutions.
Familiarity with event-driven architectures using EventBridge.

Thanks & Regards

Vivek Sharma

Account Manager

Email:

Vish Consulting Services Inc

Job Role: AWS AI Architect (AWS Bedrock Expertise) Location: Seattle WA or Miami FL (Hybrid) Contract Role Position Overview We are seeking an experienced AWS AI Architect with deep hands on expertise in Amazon Bedrock to design architect and implement end to end Generative AI and LLM powere...