Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence .

AI does not replace humans. Your expertise sharpens with every AI strategy you define, every architecture you design, and every executive decision you help shape. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and human decision‑making at scale.

It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence . Technology amplifies. Industrial discipline connects the two.

Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office) Contract: Permanent, Full-time As a Forward Deployed AI Engineer , you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This is an experienced individual-contributor role for someone who combines hands‑on engineering, architectural judgment, and business understanding.

You Own The Problem From Ambiguity

Through To Execution, Understanding The Real Context, Building And Deploying The Solution, And Proving, Not Declaring, That It Creates Value. Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands‑on delivery. Locate, qualify, and secure access to the data required for each use case, working directly with the Data Engineer.

Translate use cases into production‑ready GenAI and agentic AI solutions, including RAG architectures,



intelligent assistants, and AI‑enabled workflows. Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts. Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.

Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade‑offs. Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value. Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

You enjoy solving operational challenges, not only exploring technical concepts. You communicate clearly with both technical teams and senior business stakeholders. You take ownership of outcomes and raise risks or changing priorities early.

You understand that AI value depends on the full system: data, workflows, governance, adoption, and measurement. Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting. Hands‑on experience delivering AI, GenAI, or software solutions into production.

A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field - or equivalent practical experience.

Technical Skills Robust

Python development skills, API integration experience,



and solid software‑engineering practices. Hands‑on experience with LLMs and GenAI, including RAG, embeddings, vector search, AI agents, and agentic workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or similar.

Experience integrating and deploying AI solutions within enterprise environments and on cloud platforms (Azure, AWS, or GCP). Working knowledge of Docker, Git, CI/CD, MLOps/LLMOps, monitoring, security, data privacy, governance, and responsible AI principles. Team celebrations, social events, birthdays, breakfasts, and special activities ~ Flexible work‑from‑home policy ~4 weeks of paid vacation ~ Language courses (French & English) ~ Access to continuous learning through conferences, certifications, training programs, and industry events ~ Individual development plans and coaching opportunities The expected base compensation for this position ranges from $115,000 to $130,000 CAD, depending on experience, skills, location, and internal equity.

At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence . Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence .

Intelligence Foundations Performance Steering To create intelligent environments where technology amplifies human capabilities and performance compounds over time. With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations. AI does not transform businesses. Architected intelligence does.

📌 Remote AI Engineer (Montreal)
🏢 Keyrus
📍 Montreal