Solution Architect, Applied AI

Plusgrade Inc.; Montreal (administrative region); On-site; CAD 140,000 - 180,000; Full time

Benefits offered by this job

RRSP Matching

Comprehensive Health Plans

Flexible Paid Time Off

Travel Experience Perk

Annual Wellness Perk

Commuter Perk

Tenure-Based Work From Anywhere

Parental Leave Top Up

Adventure Pass

Learning Allowance

Job summary

Plusgrade is seeking a Solution Architect for Applied AI in Montreal to bridge machine learning, data engineering, and enterprise architecture. You will design low-latency, full-stack ML architectures linking backend logic with frontend delivery across our global platforms.

You will collaborate with Data Science and Data Engineering teams, drive production-ready model lifecycles, and advance AI capabilities with cloud-native infrastructure, MLOps, and tools like SageMaker, AWS, Kubernetes, and

Qualifications

• deep background in systems architecture and software engineering, with extensive experience designing distributed, low-latency machine learning platforms that connect backend logic to frontend delivery layers.
• hands-on experience with agentic workflows, LLM orchestration, and vector databases.
• bridge technical domains, bringing Data Science, Data Engineering, and Enterprise Architecture together to establish clear technical standards and deliver on roadmap commitments.
• master cloud-native infrastructure and MLOps practices, leveraging AWS, Kubernetes, Docker, and tools like SageMaker to ensure high availability and smooth lifecycle management.
• created shared architectural patterns and standards that allow engineering groups to move faster while keeping systems reliable and secure.

Responsibilities

• Design low-latency, full-stack machine learning architectures that connect backend ML logic with frontend delivery layers.
• Collaborate with Data Science, Data Engineering, and Enterprise Architecture to synchronize data pipelines, feature delivery, and production model lifecycles across global platforms.
• Ensure AI products are scalable, highly available, and built to last.

Skills

Systems architecture

Distributed ML platforms

LLM orchestration

Cloud-native infrastructure

MLOps

Tools

AWS

Kubernetes

Docker

SageMaker

Snowflake

SnowPark

RedShift

GitLab

CI/CD

Argo CD

Job description

Employment Type:

Permanent

Job Description:

Solution Architect, Applied AI- Montreal Only

Plusgrade is scaling its AI ecosystem beyond prototypes into production-grade agentic systems, and we need a Solution Architect to bridge machine learning, data engineering, and enterprise architecture to power real-time travel experiences.

What You’ll Be Doing

As the architectural cornerstone of our Applied AI Engineering team, you will design low-latency, full-stack machine learning architectures that seamlessly connect complex backend ML logic with frontend delivery layers. You will partner closely with Data Science, Data Engineering, and Enterprise Architecture to synchronize data pipelines, feature delivery, and production model lifecycles across our global platforms. Our software delivery and system design are structured directly around AI capabilities, giving teams the architectural foundations needed to deploy agentic systems with speed and reliability. By keeping a pulse on emerging paradigms and translating relevant models into technical direction, you will ensure our AI products are scalable, highly available, and built to last.

The Stack

• Python
• Java
• SQL
• PySpark
• AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3)
• Kubernetes
• Docker
• Snowflake
• SnowPark
• RedShift
• GrowthBook
• GitLab
• CI/CD
• Argo CD

What You Bring

• - You bring a deep background in systems architecture and software engineering, with extensive experience designing distributed, low-latency machine learning platforms that connect backend logic to frontend delivery layers.
• - You have taken AI systems past the proof-of-concept phase into robust production environments, including hands-on experience with agentic workflows, LLM orchestration, and vector databases.
• - You naturally bridge technical domains, bringing Data Science, Data Engineering, and Enterprise Architecture together to establish clear technical standards and deliver on roadmap commitments.
• - You master cloud-native infrastructure and MLOps practices, leveraging AWS, Kubernetes, Docker, and tools like SageMaker to ensure high availability and smooth lifecycle management.
• - You have structurally changed how teams build software around AI, creating shared architectural patterns and standards that allow engineering groups to move materially faster while keeping systems reliable and secure.

Why Plusgrade

Travel is about the moments that make a journey feel personal. At Plusgrade, we build the technology that makes those moments possible, from upgrade offers and loyalty experiences to revenue tools used by 575+ airline, hospitality, cruise, rail, and financial services partners worldwide.

The work is global, complex, and rewarding. You will solve meaningful problems, take ownership from idea to outcome, and work alongside people who are smart, curious, and committed to doing great work.

We also give our teams access to AI tools and the encouragement to use them thoughtfully, to move faster, explore ideas, and build better ways of working.

We trust our teams to do their best work. That means autonomy, flexibility, and room to grow.

Come help us shape the future of travel.

What You’ll Love About Us

• RRSP Matching
• Comprehensive Health Plans
• Flexible Paid Time Off
• Travel Experience Perk
• Annual Wellness Perk
• Commuter Perk
• Tenure-Based Work From Anywhere Program
• Parental Leave Top Up
• Adventure Pass
• Learning Allowance

Our Process

We believe every candidate deserves a fair, transparent experience, so regardless of outcome, everyone gets feedback.

Our process: Recruiter call → Hiring Manager interview → Final interview.

Plusgrade is an equal-opportunity employer committed to accessible recruitment. We welcome applications from all qualified individuals regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, or any other category protected by law. Accommodation is available upon request. We may use AI-assisted tools to help screen and assess applicants for this role. This posting is for an existing vacancy.