robotsandpencils
VP of Solutions Architect - AI
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 10+ years
- Posted
- 2026-07-17T18:36:05-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
10+ years of experience in software engineering or cloud architecture with deep AWS ownership.
Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services.
Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies.
Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services.
Strong knowledge of distributed systems, event-driven architectures, and serverless patterns.
Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform).
Responsibilities
Client Engagement & AWS Solution
Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production.
Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway.
Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch.
Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives.
Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.