AWS Senior Solutions Architect GenAI (Amazon Bedrock / AgentCore & Data Engineering)
AWS Senior Solutions Architect GenAI (Amazon Bedrock / AgentCore & Data Engineering) 100% Remote Long Term Contract Role Summary We are seeking a Senior AWS Solutions Architect GenAI with deep expertise in Amazon Bedrock (including AgentCore) and strong capability in data engineering and AI data pipelines. This role will design and lead enterprise-grade GenAI solutions, ensuring robust architecture across AI, data, security, scalability, and operations. Key Responsibilities GenAI & Architecture Design end-to-end GenAI architectures using Amazon Bedrock and AgentCore Architect multi-agent workflows using Bedrock Agents, tools, guardrails, and orchestration patterns Design enterprise-grade architectures covering security, IAM, networking, observability, scalability, and cost optimization Lead architecture decisions for RAG systems, knowledge bases, embeddings, and evaluation pipelines Provide technical leadership across solution design, code reviews, and architectural governance Data Engineering & AI Pipelines Design and guide implementation of data pipelines supporting GenAI systems Architect data ingestion flows using S3, Glue, Lambda, EventBridge, Step Functions Design vector data architectures using OpenSearch, DynamoDB, or similar services Ensure best practices for: o Data modeling o Data quality o Metadata management o Versioning of datasets o Governance and access control Guide teams on ETL/ELT patterns and integration with AI workflows AWS Platform & Integration Architect integrations using Lambda, API Gateway, VPC, IAM, S3, DynamoDB, OpenSearch, CloudWatch Design event-driven and microservices-based architectures Conduct architecture reviews, technical workshops, and stakeholder design sessions Act as technical advisor to senior client stakeholders Required Skills & Experience 8+ years of experience in cloud architecture (strong AWS focus) Hands-on experience with Amazon Bedrock, including: o Bedrock Agents o Bedrock AgentCore o Knowledge Bases o Guardrails o Tool orchestration Strong understanding of GenAI design patterns: o RAG o Agent orchestration o Prompt engineering o Evaluation and monitoring Solid experience with data engineering concepts, including: o Data pipelines o ETL/ELT design o Data lake architectures o Schema design o Data governance Strong AWS service experience across: o Lambda, API Gateway, S3, DynamoDB, OpenSearch o Glue, Step Functions, EventBridge o VPC, IAM, CloudWatch, CloudTrail Preferred Qualifications AWS Solutions Architect Professional or relevant AWS certifications Experience with Python for full stack applications Experience with OpenSearch vector search or similar technologies Exposure to MLOps concepts (monitoring, evaluation, lifecycle management) Apply tot his job