Robots and Pencils
PrincipalArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Architect at Robots and Pencils. Skills: Cloud architecture, Data architecture, AI/ML systems, System design. Define technical strategy. Lead architectural design”
What You'll Achieve.
Ship production-ready AI; Ship higher-quality work
Industry & Context.
Architectural challenges; Integration challenges
What They're Looking For.
Must Have
8+ years software engineering, 5+ years technical leadership, Deep expertise cloud platforms, Deep expertise cloud-native architectures, Background microservices, Background serverless, Background containers, Background event-driven systems, Proficiency infrastructure as code, Proficiency CI/CD, Data architecture expertise, Hands-on experience data modeling, Hands-on experience ETL/ELT pipelines, Hands-on experience orchestration, Experience designing AI/ML systems, Solid understanding networking, Solid understanding security, Solid understanding identity, Solid understanding access management, Software engineering skills, Track record senior technical leadership, Track record mentoring engineers, Stakeholder communication skills, Demonstrable usage AI-forward tools
Nice to Have
Multi-cloud architecture experience, AI ethics experience, Responsible AI experience, Enterprise architecture certifications
What You'll Do.
Define technical strategy
Lead architectural design
Architect scalable cloud-native solutions
Design data architectures
Define infrastructure as code
Define DevOps standards
Drive performance optimization
Drive scalability optimization
Drive cost optimization
Drive reliability optimization
Ensure architecture meets security
Ensure architecture meets governance
Ensure architecture meets compliance
Lead cloud migrations
Lead platform modernization
Bring AI-forward mindset
Partner with leadership
Communicate complex concepts
Align architecture business priorities
Develop architecture documentation
Maintain architecture documentation
Develop architecture standards
Maintain architecture standards
Develop architecture guidelines
Maintain architecture guidelines
Define architectural standards
Champion architectural standards
Define best practices
Champion best practices
Mentor experienced engineers
Own architectural challenges
Own integration challenges
Serve as decision-maker
Evaluate emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional team; Engineering teams; Data teams; AI teams; Product teams; Senior leadership; Clients
Communication Scope
Technical concepts; Stakeholder communication
Full Job Description
We’re looking for a Principal Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the engagements they support. In this role, you will operate as the senior technical authority on a cross-functional team, defining architecture across cloud infrastructure, data platforms, and AI/ML workloads. You’ll partner closely with leadership and clients on technical strategy, mentor experienced engineers, and own high-stakes decisions that shape the long-term success of the systems you build. Why This Role Matters At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. What You’ll Do Craft & Delivery Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies (e.g., AWS, Azure, GCP, Kubernetes) Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka) Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face) Define infrastruct
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