AWS AI Architect (AWS Bedrock Expertise)

Job Title: AWS AI Architect (AWS Bedrock Expertise)

Location: Seattle , WA or Miami , FL(onsite)

Duration: Long Term

Position Overview:

We are seeking an experienced AWS AI Architect with deep handson expertise in Amazon Bedrock to design, architect, and implement endtoend Generative AI and LLMpowered 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 3rdparty 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 endtoend 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 finetune LLMs through Bedrock FineTuning 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.