Position: AWS Senior Solutions Architect GenAI
Location: San Antonio TX (Onsite)
Duration: Long term contract
Job Description:
AWS Senior Solutions Architect GenAI (Amazon Bedrock / AgentCore & Data Engineering)
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:
- Data modeling
- Data quality
- Metadata management
- Versioning of datasets
- 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:
- Bedrock Agents
- Bedrock AgentCore
- Knowledge Bases
- Guardrails
- Tool orchestration
- Strong understanding of GenAI design patterns:
- RAG
- Agent orchestration
- Prompt engineering
- Evaluation and monitoring
- Solid experience with data engineering concepts including:
- Data pipelines
- ETL/ELT design
- Data lake architectures
- Schema design
- Data governance
- Strong AWS service experience across:
- Lambda API Gateway S3 DynamoDB OpenSearch
- Glue Step Functions EventBridge
- 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)
Position: AWS Senior Solutions Architect GenAI Location: San Antonio TX (Onsite) Duration: Long term contract Job Description: AWS Senior Solutions Architect GenAI (Amazon Bedrock / AgentCore & Data Engineering) Role Summary: We are seeking a Senior AWS Solutions Architect GenAI ...
Position: AWS Senior Solutions Architect GenAI
Location: San Antonio TX (Onsite)
Duration: Long term contract
Job Description:
AWS Senior Solutions Architect GenAI (Amazon Bedrock / AgentCore & Data Engineering)
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:
- Data modeling
- Data quality
- Metadata management
- Versioning of datasets
- 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:
- Bedrock Agents
- Bedrock AgentCore
- Knowledge Bases
- Guardrails
- Tool orchestration
- Strong understanding of GenAI design patterns:
- RAG
- Agent orchestration
- Prompt engineering
- Evaluation and monitoring
- Solid experience with data engineering concepts including:
- Data pipelines
- ETL/ELT design
- Data lake architectures
- Schema design
- Data governance
- Strong AWS service experience across:
- Lambda API Gateway S3 DynamoDB OpenSearch
- Glue Step Functions EventBridge
- 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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