LP
AI Engineer
LinkedIn Recruiter Post
Hiring AI Engineer with 8 - 10 years experience in AI/ML, LLMs, Python, and MLOps. Must have expertise in Generative AI, RAG pipelines, and cloud deployment.
About the role
- GenAI Developer at Stantec contributing to enterprise AI systems and architectural guidance. Collaborating with data scientists and engineers to deliver scalable, secure solutions.
Responsibilities
- Architect end-to-end GenAI solutions, including model lifecycle management, evaluation, deployment, and monitoring.
- Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
- Act as a technical advisor and reviewer, supporting architectural decisions, code reviews, and design trade-offs.
- Provide architectural guidance for production deployments using Azure-native services, Databricks, and Azure DevOps CI/CD pipelines, ensuring solutions align with enterprise standards.
- Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
- Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
- Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
- Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
- Guide implementation teams through design reviews, technical decision-making, and delivery of best practices.
- Document architectural patterns, methodologies, and lessons learned; contribute to internal knowledge bases and Communities of Practice.
- Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
- Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
Requirements
- Strong background designing and delivering modern cloud solutions, APIs, and data/AI platforms.
- Demonstrated experience with GenAI solution patterns
- Familiarity with security, privacy, and governance practices for enterprise AI solutions.
- Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
- Experience partnering across disciplines in agile delivery environments.
- Understanding application deployment, hosting, and scaling using the Azure App Service platform within Azure environments.
- Master’s degree or higher degree in Computer Science, Engineering, or related field (or an equivalent combination of education and experience).
- 7+ years of professional experience in architecture, software engineering, data engineering, or AI/ML solution delivery, with recent hands-on GenAI solution experience.
- Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry and Databricks Mosaic AI, would be highly valued.
Benefits
- Health, dental, and vision plans
- Wellness program
- Health care spending account
- Wellness spending account
- Group registered retirement savings plan
- Employee stock purchase program
- Group tax-free savings account
- Life and accidental death & dismemberment (AD&D) insurance
- Short-term/long-term disability plans
- Emergency travel benefits
- Tuition reimbursement
- Professional membership fee coverage
- Paid time off
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior AI Engineer at SecurityScorecard designing customer - facing AI features using TypeScript, Go, and AWS. Responsible for integrating AI capabilities into security solutions and collaborating with cross - functional teams.
Lead AI product initiatives and technical architecture as a Staff AI Engineer at SecurityScorecard. Drive engineering standards and deliver AI - powered solutions in a reputable cybersecurity company.
LP
AI Engineers & Data Engineers (Healthcare / Biotech)
LinkedIn Recruiter Post
Hiring AI Engineers & Data Engineers for healthcare/biotech roles in Toronto/Vancouver. Hybrid work model (1 day onsite per week).
Senior Machine Learning Engineer at TheAppLabb designing and deploying production - grade ML systems with a focus on AI features and cloud infrastructure.
Lead AI platform architecture across Optical, IP, and Fixed Networks in Network Infrastructure sector. Driving automation and intelligence in network autonomy with extensive experience in AI systems.
AI Engineer designing and optimizing AI solutions focusing on LLMs within a hybrid team at KPI. Leading development and deployment of AI - driven strategies using Azure.
LP
AI Developer / Engineer (LLM + Azure)
LinkedIn Recruiter Post
AI Developer/Engineer role requiring 5 - 8 years of AI/LLM solution experience. Focus on LLM + Azure technologies in Toronto, ON (Hybrid).
LP
Mainframe Developer
LinkedIn Recruiter Post
Mainframe Developer with strong COBOL, PL1, DB2, VSAM, CICS, JCL, and EASYPLUS skills. Analyze business requirements and translate into technical design and code.
AI Developer Intern leading development and implementation of AI tutors for Universa AI Academy curriculum. Responsible for creating AI - powered learning experiences without human instructors.