AWS Senior Solutions Architect – GenAI

AWS Senior Solutions Architect – GenAI (Amazon Bedrock / AgentCore & Data Engineering)

No h1b

onsite role from San Antonio, TX

Long term

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)