About the role

Forward Deployed AI Engineer industrializing GenAI and agentic AI solutions for Keyrus Canada clients. Deploying measurable, governed AI systems across enterprise environments.

Responsibilities

Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery
Locate, qualify, and secure access to 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
Collaborate with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers
Balance speed, quality, cost, security, and maintainability while making technical and delivery trade-offs
Define success criteria 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 for future engagements

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
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 Azure, AWS, or GCP
Working knowledge of Docker, Git, CI/CD, MLOps/LLMOps, monitoring, security, data privacy, governance, and responsible AI principles

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