Hybrid Generative AI Developer

Posted 2 hours ago

Apply now

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

Generative AI Developer

Job type

Experience level

SeniorLead

Salary

CA$94,600 - CA$137,100 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job