Role DescriptionEnterprise Architect - Full Stack, React, React Native

Who We AreBorn digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human‐centred solutions for a better world.

UST is a mission‐driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career—and the lives of people across the world.

Visit us at UST.Com.

You AreThe Enterprise Architect - Full Stack, React, React Native and AI (Preferred) will be responsible for defining and leading enterprise‐grade solution architectures that integrate modern full stack engineering practices with scalable AI/ML capabilities.

The Chance

Define end‐to‐end architecture for full stack and AI/ML systems across discovery, data management, model development, deployment, and operations.

Establish enterprise architecture principles, standards, and governance models for AI‐enabled platforms.

Drive digital modernization and cloud transformation initiatives aligned with business goals.

Evaluate emerging technologies (AI/ML, DevOps, MLOps, cloud platforms) to accelerate enterprise innovation.

AI/ML Solution Architecture (Preferred)

Architect scalable ML pipelines, automated workflows,



CI/CD & MLOps frameworks (data ingestion, feature engineering, model development, evaluation, deployment, monitoring).

Work with data scientists, ML engineers, and analytics engineers to operationalize AI/ML models at scale.

Ensure governance, compliance, versioning, reproducibility, and monitoring for AI/ML systems.

Full Stack & Platform Architecture (React/React Native)

Design and review enterprise applications combining backend, frontend, cloud APIs, and microservices.

Lead architecture for full stack development teams including scalable frontend, middleware, data APIs, microservices, and cloud‐native services.

Guide solution teams on performance optimisation, caching, distributed systems, and containerised deployments (Docker/K8s).

Oversee API‐first integration patterns, event‐driven designs, and asynchronous architectures.

Cloud & DevOps/MLOps Integration

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What You Need

Technical Expertise

Full Stack Engineering:Strong background in Java, Node.Js, Python, Angular/React, REST APIs, microservices,



event‐driven architecture.

AI/ML Engineering:Experience with ML frameworks (TensorFlow, scikit‐learn, MLlib), feature engineering, pipeline automation, monitoring, and operational ML.

Cloud & Platform Architecture:Deep knowledge of AWS/Azure/GCP, cloud networking models, containers (Docker), Kubernetes, serverless, and distributed systems.

Data Engineering:Strong understanding of data warehousing concepts, ETL frameworks, governance, metadata management, and real‐time data architectures.

DevOps/MLOps:CI/CD (Azure DevOps, GitHub, Jenkins), model deployment automation, IaC (Terraform/CloudFormation).

Soft Skills:Excellent leadership, problem‐solving, and communication skills fit for enterprise architect roles.

Ability to drive cross‐functional initiatives and influence without authority.

Strong stakeholder management, negotiation, and architectural storytelling abilities.

Experience:12+ years of IT experience, including 5‐7+ years in solution or enterprise architecture roles, demonstrated delivery of large‐scale enterprise platforms with AI/ML components, experience leading global, cross‐functional, multi‐disciplinary teams.

Preferred Qualifications:Certifications: TOGAF, cloud architect certifications, AI/ML specialization.

Experience with enterprise‐scale MLOps & federated data science operations.

Background in regulated industries (finance, healthcare, telecom) is a plus.

Compensation can differ depending on factors including but not limited to the specific office locat

📌 Enterprise Architect (Vancouver)
🏢 UST
📍 Vancouver