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 experiencedAWS AI Architectwith deep hands?on expertise inAmazon Bedrockto 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 architectGenerative AI solutions using Amazon Bedrock , including model selection, orchestration, security, and deployment. BuildRetrieval-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 usingBedrock AgentsandBedrock Knowledge Bases . Develop end?to?end AI workflows usingLambda, Step Functions, API Gateway , and other serverless components. Model Development & Engineering Implement prompt engineering, prompt optimization, and evaluation frameworks. Customize and fine?tune LLMs throughBedrock Fine?Tuningworkflows. 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 usingGlue, S3, EMR, Redshift, Kinesis , etc. Architect secure access patterns usingIAM, 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 inAI/ML , with at least 12 years inGenerative AI solutions . Strong expertise withAmazon Bedrock(mandatory). Experience with major foundation models (Claude, Llama, Titan, Cohere). Strong command ofPython ,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 withSageMaker ,EKS , orECSfor 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 usingEventBridge .