Lead AWS AI Solutions Architect: Generative & Agentic AI

Robots and Pencils; United States; Remote; USD 140,000 - 260,000; Full time

Job summary

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to design and deliver enterprise-grade generative AI systems on AWS. You will steer architectural decisions, prototype feasibility in Python, and drive scalable, secure AI platforms using Bedrock, SageMaker, and related services.

This senior role requires 7–10+ years in software or cloud architecture, deep AWS ownership, and strong communication with technical and executive audiences.

Qualifications

• 7–10+ years of software engineering or cloud architecture experience with deep AWS ownership.
• Deep expertise in Bedrock, Bedrock AgentCore, AWS Strands Agents and related AI services.
• Strong knowledge of SageMaker, ML workflows, and model fine‑tuning strategies.
• Experience designing RAG, multi‑agent and orchestration systems on AWS.
• Proficiency with IaC (CDK, CloudFormation, Terraform) and Python.
• Excellent communication for technical and executive audiences.

Responsibilities

• Act as the primary AWS AI architecture partner for strategic clients, from discovery to production.
• Lead architecture design using Bedrock, Bedrock AgentCore, and AWS services for complex AI systems.
• Develop AWS reference architectures, ADRs, and implementation roadmaps aligned to business goals.
• Prototype feasibility in Python and validate designs with AWS-native tools.
• Ensure security, governance, and cost optimization across solutions.

Skills

AWS architecture

Python development

Infrastructure as Code

Distributed systems

Executive communication

Cloud cost optimization

Security best practices

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent

Tools

Amazon Bedrock

Bedrock AgentCore

SageMaker

AWS CDK

CloudFormation

Terraform

OpenSearch

Python SDKs

Job description

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to design and deliver enterprise-grade generative AI systems on AWS. You will steer architectural decisions, prototype feasibility in Python, and drive scalable, secure AI platforms using Bedrock, SageMaker, and related services.

This senior role requires 7–10+ years in software or cloud architecture, deep AWS ownership, and strong communication with technical and executive audiences.