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VP of Solutions Architect - AI

Robots & PencilsUnited States🌍 Remote
Full-timeMid Level
👁️ 4 views📝 0 applicationsPosted 7/19/2026Expires 9/17/2026
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Job Description

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services.

You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services.

As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value.

Key Responsibilities

Client Engagement & AWS Solutions Architecture 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.

Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. Outcome Ownership & Business Impact Own architectural integrity from concept through production deployment on AWS.

Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. Guide clien

Required Skills

AWSMachine LearningPrototypingPython

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