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Robots & Pencils is a digital innovation firm helping businesses turn emerging technology into practical digital products and strategies. Its work spans mobile and web development, product design, UX research, artificial intelligence, machine learning, and organizational change management. The company combines creative problem-solving with technical expertise to uncover value in data, support product innovation, and create stronger customer experiences across AI, B2B, and SaaS environments.
Staff Cloud Architect (L4) – Remote in Canada
Lead cloud, data, and AI/ML architecture for applied AI engineering engagements at Robots & Pencils. Build secure, scalable production systems while working with remote teams across Canada and the United States.
Description
- Set technical strategy and lead architecture for cloud, data, and AI/ML systems across complete client engagements
- Create scalable cloud-native architectures spanning multi-cloud and hybrid environments
- Design data platforms covering warehouses, lakes, and batch and streaming pipelines
- Architect production AI/ML platforms, including model serving, MLOps, feature stores, and LLM applications
- Set standards for infrastructure as code, CI/CD, and DevOps practices
- Optimize systems for performance, scalability, cost efficiency, and reliability
- Ensure solutions satisfy security, governance, and compliance obligations
- Lead cloud migration and platform modernization programs
- Apply AI-focused tools such as Claude and Cursor to deliver high-quality work efficiently
- Work with leadership and clients to set technical direction and convert business objectives into architecture decisions
- Explain complex technical concepts clearly to technical and non-technical stakeholders
- Coordinate with engineering, data, AI, and product teams
- Create and maintain architecture documentation, standards, and guidance
- Define and promote architecture best practices
- Coach junior and mid-level engineers
- Serve as the technical escalation point for complex architecture and integration issues
- Assess emerging technologies and recommend suitable tools, frameworks, and patterns
Requirements
- At least eight years in software engineering, including three or more years in architecture or technical leadership
- Advanced knowledge of cloud platforms and cloud-native design across AWS, Azure, and Google Cloud
- Strong experience with microservices, serverless systems, containers, and event-driven architectures, including Kubernetes, Docker, Lambda, and EventBridge
- Proficiency in infrastructure as code and CI/CD tools such as Terraform, CloudFormation, Pulumi, and GitHub Actions
- Extensive data architecture experience across relational, NoSQL, and big data technologies, including PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, and Kafka
- Practical experience with data modeling, ETL/ELT pipelines, and orchestration tools including Airflow, Prefect, and dbt
- Strong background designing production AI/ML systems involving LLMs, MLOps, and model serving
- Sound knowledge of cloud networking, security, identity, and access management
- Experience with governance, compliance, and observability frameworks
- Strong software development skills in Python, API design, and containerization
- Proven record of technical leadership and mentoring
- Excellent stakeholder communication skills, with the ability to explain technical detail to varied audiences
- Demonstrated use of AI-focused tools such as Claude and Cursor
- Multi-cloud architecture, responsible AI or AI ethics, and enterprise architecture certifications are advantageous
- Candidates must be based in Canada or the United States; applications from elsewhere will not be considered
- A background check may be required where permitted by local law
Benefits
- Paid time off
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k) for eligible employees
- Background checks may apply according to local law and the candidate privacy notice
- Equal employment opportunity
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