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)
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