Senior Cloud Architect

About the role

This is a Fully Remote position with an applied AI engineering firm that builds AI co-workers for enterprise operations, primarily on AWS, combining deep UX with senior engineering to deploy AI solutions. Founded in 2009, the company serves industries such as Consumer Products, Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing, with delivery centers in Canada, the United States, Eastern Europe, and Latin America. Teams average over 15 years of experience. The SENIOR CLOUD ARCHITECT role contributes to the design and delivery of complex systems spanning cloud, data, and AI domains, supporting architectural ownership while maintaining hands‑on development within a cross‑functional delivery team, focusing on scalable, secure, and maintainable architectures and collaborating with senior architects and product partners to advance AI integration into enterprise workflows and ensure production‑ready solutions.

Note: TalentHop is a recruitment partner for this role; all employment decisions are made exclusively by the hiring employer.

Responsibilities

• Contribute to architectural design across cloud, data, and AI/ML systems
• Build and integrate cloud‑native solutions including microservices, serverless, and containerized workloads
• Implement infrastructure as code and CI/CD pipelines
• Design and support data architectures including pipelines, warehouses, and modeling
• Support AI/ML system design, including model serving and MLOps pipelines
• Implement monitoring, logging, and observability for deployed systems
• Collaborate with cross‑functional teams to translate requirements into technical solutions
• Communicate technical tradeoffs and design decisions clearly
• Maintain architecture documentation
• Participate in design reviews and provide constructive feedback
• Take ownership of system components with growing architectural responsibility
• Contribute to architectural standards and best practices
• Mentor junior engineers

Requirements

• 5+ years of professional software engineering experience with architectural decision‑making exposure
• Working knowledge of cloud platforms and cloud‑native architectures
• Proficiency in Python and at least one additional modern programming language
• Hands‑on experience with containerization and orchestration
• Experience with infrastructure as code and CI/CD tools
• Knowledge of relational and NoSQL databases and data pipeline concepts
• Familiarity with AI/ML system design, model deployment, MLOps, and LLM integration
• Understanding of microservices, serverless, and event‑driven architectures
• Awareness of security, compliance, and observability fundamentals
• Strong problem‑solving skills and ability to handle ambiguous technical challenges
• Experience using AI‑forward tools to enhance work quality