About the Position

AI Foundation Architect

Architect the foundations of enterprise AI, connecting cloud, data, and intelligent systems into secure, scalable production solutions.

Why Keyrus, Why Now!

Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.

Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.

At Keyrus, you'll work closely with clients to design the architecture and technical foundations that turn AI opportunities into secure, scalable, production-ready solutions.

Role Details

Location: Hybrid - Montreal or Toronto, Canada (2 days per week in the office)
Contract: Permanent, full-time

Responsibilities

Lead architecture discovery with clients to understand business objectives, existing systems, technical constraints, and AI requirements.
Define target architectures for production AI and GenAI solutions, integrating models, agents, cloud services, enterprise data, applications, and APIs.
Own key architecture decisions within the assigned scope, establishing reference patterns, technical boundaries, and design standards.
Design secure and reliable foundations addressing identity, access, scalability, resilience, observability, and operational requirements.
Evaluate architecture trade-offs, including model selection, performance, latency, infrastructure costs, and AI consumption patterns.
Guide AI Engineers, Data Engineers, Software Engineers, and cloud specialists to ensure consistency across technical implementations.
Advise client stakeholders, review technical designs, and document reusable architecture patterns and decisions.
Convert successful architecture decisions into reusable Keyrus assets, including reference architectures, decision records, standards, patterns, and design guidance that can strengthen future engagements.

Requirements

Experience

Strong experience, 8 years +, designing and owning complex enterprise, solution, cloud, or data architectures in production environments.
Recent experience architecting production GenAI, LLM, or agentic systems, including integration with enterprise applications and operational infrastructure.
Experience defining reference architectures, technical standards, integration patterns, and architecture decisions.
Experience designing distributed systems and enterprise integrations across multiple technical environments.
Ability to evaluate architecture trade-offs involving security, reliability, scalability, performance, maintainability, and cost.
Experience guiding multidisciplinary engineering teams and advising client architects, technical leaders, and business stakeholders.

Technical Skills

Deep architecture expertise in at least one major cloud ecosystem, such as AWS, Azure, or GCP, including relevant AI services.
Experience designing architecture for model access and deployment patterns across managed AI services, APIs, open-source models, or comparable enterprise AI environments.
Strong understanding of GenAI architectures, including LLMs, RAG, AI agents, model integration, and enterprise AI workflows.
Experience with distributed systems, APIs, microservices, and enterprise integration patterns.
Knowledge of enterprise data architectures, including lakehouse, streaming, data mesh, or feature stores.
Understanding of security architecture, IAM, networking, resilience, observability, and production operations.
Familiarity with MLOps, LLMOps, CI/CD, containers, infrastructure as code, and AI cost optimization.

Nice to Have

Experience with Amazon Bedrock, Azure AI, Vertex AI, or comparable cloud AI services.
Experience designing multi-agent systems, model routing, or AI orchestration architectures.
Familiarity with LangGraph, MCP, AI gateways, or similar technologies.
Experience with Terraform, Kubernetes, or enterprise infrastructure automation.
Experience with regulated environments, AI governance, or formal architecture review processes.
Consulting or professional services experience across multiple clients.

What We Offer

A stimulating environment where you can challenge yourself and discover new horizons.
A strong culture of innovation and entrepreneurship.
Opportunities to celebrate success through team activities, social events, and special celebrations.
Comprehensive group insurance for you and your family.
RRSP and DPSP participation plans.
Monthly wellness allowance.
Telecommunication reimbursement.
4 weeks of paid vacation.
Language courses (French and English).
Access to continuous learning through certifications, conferences, training programs, and industry events.

The expected base compensation for this position ranges from $115,000 to $140,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.

About Keyrus

At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.

As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.

Intelligence Foundations
Human in Command governance
Performance Steering

With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.

AI does not transform businesses. Architected intelligence does.

For more information: www.keyrus.com

AI Foundation Architect

Job description