📍 Location: Hybrid - Toronto or Montreal, Canada (2 days per week at the office) 💼 Contract: Permanent, Full-time We are currently building our talent pipeline for upcoming Forward Deployed AI Engineer opportunities in Canada. While we may not have an immediate opening today, we are actively connecting with strong profiles as we anticipate future needs across our client engagements. If your experience aligns with the role below, we encourage you to apply. Our Talent Acquisition team may reach out as relevant opportunities arise. WHAT YOU'LL ARCHITECT: 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. Once the terrain is understood, you become the reference the team relies on to make that result last: • 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. • Ensure solutions are documented, governed, and transferable so clients can operate them with confidence. • Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements. WHO YOU ARE: You are a hands-on engineer who thinks like an architect and acts like a builder. • You enjoy solving operational challenges, not only exploring technical concepts. • You communicate clearly with both technical teams and senior business stakeholders. • You navigate ambiguity with confidence, validate assumptions, and adapt quickly. • 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. • You naturally look for what can be reused, improved, and scaled. WHAT YOU BRING: Qualifications / Certifications • 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. • Experience working directly with clients or in complex stakeholder environments. • Evidence of turning complex use cases into adopted measurable solutions. • A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field - or equivalent practical experience. Technical Skills • Strong 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. 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 $115,000 to $130,000 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. Department Operations Locations Montréal, Toronto Remote status Hybrid