Senior Solutions Architect

The role

You will lead the design and delivery of complex, enterprise-grade generative and agentic AI systems on Amazon Web Services. You will architect scalable AI platforms and serve as a strategic technical advisor for clients.

What you will do

• Drive generative and agentic AI system design from discovery through production.
• Lead architecture design using Amazon Bedrock and related AWS services.
• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures.
• Produce AWS reference architectures, architecture decision records, and implementation roadmaps.
• Validate feasibility through hands-on prototyping in Python.
• Ensure architectures follow AWS security best practices and cost optimization principles.
• Own architectural integrity from concept through production deployment.
• Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams.
• Establish best practices for MLOps on AWS.
• Support pre-sales engagements including architecture workshops and solution scoping.

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 7–10+ 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, 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).
• Hands-on development capability in Python and AWS SDKs.
• Experience implementing observability and monitoring strategies in AWS environments.
• Proven success leading enterprise-scale AWS transformations.
• Exceptional communication skills for both technical and executive audiences.

Nice to have

• AWS Professional Certifications (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional).
• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
• Experience with advanced agentic reasoning patterns (ReAct, CoT, Tree-of-Thoughts) implemented on Bedrock.
• Experience building secure multi-account AWS organizations using Control Tower.
• Exposure to data engineering services such as Glue, Redshift, Lake Formation.
• Consulting or professional services background.

Benefits

• Paid time off
• Medical/dental/vision insurance
• 401(k)

Before you apply

• An offer of employment may be conditional upon successful completion of a background check.

About the company

Robots & Pencils builds smart systems for a human world by blending creativity, engineering, and AWS-powered AI.