Principal AI Architect

Robots and Pencils
United States
Remote

Who this role is best for

A natural match if you have experience leading multi-domain AI systems in cloud environments.

Best fit for

  • Candidates with 5+ years in technical leadership and hands-on AI/ML system design experience
    — “8+ years of experience in software engineering, with at least 5 years in technical leadership roles”
  • Professionals who can balance engineering rigor with creative problem-solving in enterprise contexts
    — “engineering paired with creativity, because every agent we ship has to work for real people in real workflows”

Things to consider

  • The role demands high-stakes decision-making and ownership of complex systems
    — “own high-stakes decisions that shape the long-term success of the systems you build”
  • Candidates must be comfortable with multi-cloud environments and hybrid strategies
    — “multi-cloud and hybrid strategies (e.g., AWS, Azure, GCP, Kubernetes)”

How to stand out

  • Emphasize your track record of mentoring engineers and driving architectural best practices
    — “Mentor experienced engineers and architects, helping them grow their technical judgment and impact”
  • Highlight experience with AI-assisted tools like Claude and Cursor in your workflow
    — “using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace”
  • Demonstrate your ability to translate complex AI and cloud concepts to non-technical stakeholders
    — “communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike”
  • Include specific examples of cloud migrations or platform modernization you've led
    — “lead cloud migrations and platform modernization initiatives”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Defined technical strategy for cloud, data, and AI systems
  • Led architectural design for complex systems
  • Mentored experienced engineers
Typical background
Experience in software engineeringBackground in cloud and AI architecture

Skills & requirements

Required

Cloud ArchitectureData ArchitectureAi/ml SystemsMlopsDevOpsInfrastructure As CodeCI/CDSecurityComplianceEmerging Technologies

Preferred

KubernetesTerraformGithub ActionsSagemakerVertex AIMlflowHugging Face

Stack & domain

Cloud InfrastructureData PlatformsAi/ml WorkloadsCloud-native SolutionsMulti-cloud And Hybrid StrategiesData ArchitecturesAi/ml SystemsMlops PipelinesFeature StoresLlm-based ApplicationsInfrastructure As CodeCI/CDDevops StandardsPerformance OptimizationSecurityGovernanceComplianceCloud MigrationsPlatform ModernizationAI AssistantsCollaborationCommunicationLeadershipInfluenceEvaluation Of Emerging TechnologiesCloudDataAIML

About the role

Original posting from Robots and Pencils via Greenhouse

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 infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions) 

Drive performance, scalability, cost, and reliability optimization across deployed systems 

Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2) 

Lead cloud migrations and platform modernization initiatives 

Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace 

Collaboration & Communication 

Partner with senior leadership and clients as the principal technical voice on strategy and direction 

Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike 

Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities 

Develop and maintain architecture documentation, standards, and guidelines 

Leadership & Influence 

Define and champion architectural standards and best practices on the engagements you support 

Mentor experienced engineers and architects, helping them grow their technical judgment and impact 

Own the most difficult architectural and integration challenges, serving as the senior technical decision-maker 

Evaluate emerging technologies and recommend tools, frameworks, and patterns that improve architecture over time 

What You’ll Bring 

8+ years of experience in software engineering, with at least 5 years in technical leadership roles 

Deep expertise in cloud platforms and cloud-native architectures (e.g., AWS, Azure, GCP) 

Strong background in microservices, serverless, containers, and event-driven systems (e.g., Kubernetes, Docker, Lambda, EventBridge) 

Proficiency with infrastructure as code and CI/CD (e.g., Terraform, CloudFormation, Pulumi, GitHub Actions) 

Strong data architecture expertise across relational, NoSQL, and big data systems (e.g., PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, Kafka) 

Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration (e.g., Airflow, Prefect, dbt) 

Strong experience designing AI/ML systems for production, including LLMs, MLOps, and model serving (e.g., SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, TensorFlow) 

Solid understanding of networking, security, identity, and access management in cloud environments 

Experience with governance, compliance, and observability frameworks 

Strong software engineering skills (Python, APIs, containerization) 

Track record of senior technical leadership and mentoring experienced engineers 

Strong stakeholder communication skills, with the ability to translate technical depth across audiences 

Demonstrable usage of AI-forward tools such as Claude and Cursor 

Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications (e.g., TOGAF, AWS/Azure/GCP) is a plus 

Helpful Extras and Unique Skills 

Experience designing AI/ML solutions that integrate with SAP EAM data structures (e.g., Equipment Masters, Work Orders, or Notifications) via SAP BTP or cloud-native APIs.

You’ll Do Well Here if You Are 

A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty. 

A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway. 

Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke. 

Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind. 

Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing. 

All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously. 

Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you. 

Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work. 

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $ $165,604 - $228,491 USD.  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. 

An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. 

Source: Robots and Pencils careers (Greenhouse)

Similar roles