Senior AI Engineer (Agentic AI)

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.

🚀 What You'll Architect

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

Role Details

📍 Location: Hybrid – Toronto or Montreal, Canada 💼 Contract: Full-time 🌐 Work Model: Hybrid (2 days per week on-site) 🚀 Level: Senior/Architect

The expected base compensation for this position ranges from $90,000 to $125,000 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.

🎁 Rewards - 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

🌍 What We Stand For

•

Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.

•

Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.

•

Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.

•

Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.

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:

•

Intelligence Foundations

•

Human in Command governance

•

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.

Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).

For more information: www.keyrus.com