Senior AI Software Engineer building agentic AI harnesses for Kinaxis’s Databricks - based enterprise data fabric. Enabling secure, governed workflows across GCP and Azure.
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
Requirements
- 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
Benefits
- 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
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