Solution Architect, Applied AI

Role overview

What you'll do

• Design low-latency, full-stack ML architectures linking backend logic with frontend delivery.
• Coordinate data pipelines, feature delivery, and production model lifecycles with Data Science, Data Engineering, and Enterprise Architecture.
• Set architectural direction for scalable, highly available AI products and production agentic systems.
• Translate relevant emerging AI paradigms into technical direction and reusable engineering standards.

Technology stack

• Listed technologies include Python, Java, SQL, PySpark, AWS services, Kubernetes, Docker, Snowflake, Snowpark, Redshift, GrowthBook, GitLab, CI/CD, and Argo CD.

What you bring

• Extensive systems architecture and software engineering experience designing distributed, low-latency ML platforms.
• Experience moving AI systems from proof of concept into production, including agentic workflows, LLM orchestration, and vector databases.
• Ability to align Data Science, Data Engineering, and Enterprise Architecture and establish technical standards.
• Cloud-native infrastructure and MLOps expertise, including AWS, Kubernetes, Docker, and tools such as SageMaker.
• Experience creating shared architectural patterns that improve delivery speed while keeping systems reliable and secure.

Benefits

• Benefits include RRSP matching, health plans, flexible paid time off, travel and wellness perks, a commuter perk, a tenure-based work-from-anywhere program, parental leave top-up, an adventure pass, and a learning allowance.

Recruitment process

• The process includes a recruiter call, a hiring manager interview, and a final interview.
• This posting is for an existing vacancy.

About Plusgrade