Why Keyrus, Why Now!
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. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every intelligent system you architect, every client challenge you solve, and every production deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges AI, software engineering, cloud architecture, and business decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role Details
Location: Hybrid – Toronto or Montreal, Canada
Contract: Full-time
Work Model: Hybrid (2 days per week on-site)
As a Senior AI Engineer, you will architect and deliver enterprise AI solutions that move beyond experimentation into production-ready systems. Combining software engineering excellence with consulting expertise, you will design intelligent architectures, build agentic workflows, and guide organizations through the adoption of scalable, reliable, and measurable AI capabilities.
Translate business objectives into AI solutions by collaborating directly with executives, business leaders, and technical stakeholders to define success metrics and measurable outcomes
Evaluate AI platforms and recommend the most appropriate technology stack based on integration, governance, scalability, cost, and time-to-value considerations
Architect Agentic AI and Generative AI solutions including multi-agent workflows, RAG pipelines, tool/function calling, memory management, guardrails, and human-in-the-loop orchestration
Build production-grade AI agents and intelligent automations using LangChain, LangGraph, Bedrock AgentCore, and modern orchestration frameworks integrated with enterprise systems through APIs
Design evaluation pipelines, observability frameworks, prompt lifecycle management, and versioning strategies that maximize reliability, performance, and governance
Deliver Proofs of Concept, demonstrations, and production deployments supported by modern AI Engineering, CI/CD, and MLOps practices
Contribute to pre-sales initiatives by shaping solution offerings, supporting proposals, and providing technical credibility during client engagements
Mentor engineers and junior team members while defining reusable architectures, engineering standards, and AI best practices
Continuously evaluate emerging models, frameworks, MCP capabilities, and agent protocols to strengthen client solutions and Keyrus' AI practice
Who You Are
You combine deep engineering expertise with a strong consulting mindset
You see AI systems as business capabilities rather than isolated technical implementations
You naturally balance rapid innovation with scalability, governance, and long-term maintainability
You enjoy collaborating with clients and multidisciplinary teams to transform business challenges into intelligent solutions
You are comfortable making architectural decisions and communicating technical trade-offs to both executives and engineers
You continuously explore new AI technologies and translate them into practical, production-ready solutions
You contribute to a culture of mentorship, collaboration, and continuous learning
️ What You Bring
Qualifications / Certifications
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field—or equivalent professional experience
5+ years of experience in Software Engineering, AI Engineering, or Data Engineering, including hands-on experience delivering Generative AI or Agentic AI solutions into production
Experience working within consulting or client-facing environments is highly valued
AWS AI/ML, AWS Solutions Architect, Salesforce Agentforce, or equivalent certifications are considered an asset
Technical Skills
Strong Python development skills and solid software engineering fundamentals including APIs, microservices, version control, testing, and modular architecture
Hands-on experience building AI agents and tool-enabled LLM applications using orchestration frameworks such as LangChain, LangGraph, or equivalent technologies
Practical experience with AWS AI services, especially Amazon Bedrock, Bedrock Agents, Guardrails, and the broader AWS ecosystem including Lambda, API Gateway, S3, and IAM
Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, chunking strategies, hybrid and semantic search, reranking, evaluation methodologies, and vector databases
Experience evaluating AI platforms objectively and designing architectures that balance business value, technical feasibility, governance, and cost
Knowledge of production AI engineering practices including observability, prompt management, evaluation pipelines, CI/CD, and MLOps
Experience integrating enterprise AI solutions with CRM, ERP, and other business systems through APIs and modern cloud architectures
Nice-to-haves
Hands-on experience with Salesforce Agentforce and Data Cloud / Data 360
Experience comparing and integrating multiple AI agent platforms within enterprise architectures
Familiarity with Responsible AI, model governance, security, and enterprise guardrails
Experience using Anthropic Claude, Claude Code, Claude Skills, Plugins, and MCP servers
Industry experience in Financial Services, Retail, Supply Chain, or Healthcare
Knowledge of regulatory and privacy frameworks such as GDPR
Exposure to React or modern frontend frameworks for AI copilots and interactive demonstrations
What Makes You Successful
Excellent communication skills, with the ability to engage both technical teams and executive stakeholders
Comfortable translating complex AI architectures into practical business solutions and clear technical roadmaps
Brings a consultative mindset that balances innovation with governance, scalability, and measurable outcomes
Demonstrates ownership, structured problem-solving, and strong engineering judgment across the full AI lifecycle
Builds credibility through collaboration, mentorship, and continuous technical excellence
Thrives in environments where learning, experimentation, and production delivery coexist
What We Offer at Keyrus
A stimulating environment where you will be able to surpass yourself and discover new horizons
A strong culture of innovation and entrepreneurship
Team celebrations, social events, birthdays, breakfasts, and special activities
Group insurance for you and your family members
RRSP and DPSP participation plans
Monthly Wellness Allowance
Telecommunication reimbursement
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 $90,000 to $135,000 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 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.
Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable:
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.
Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).
For more information: www.keyrus.com
