Developer, AI Engineering

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Developer, AI Engineering Toronto Requisition ID: 257438 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The AI Engineer is an individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role will execute AI engineering and MLOps/LLMOps, ensuring AI solutions are secure, scalable, auditable, and production ready. You will work with Senior Engineers to build and deploy production grade AI systems end to end. Is this role right for you? In this role, you will: Production AI Engineering (Build, Deploy, Run) Implement production‑grade AI services and pipelines (batch and real‑time) with strong focus on reliability, performance, and operational excellence in the cloud Execute, manage and support the packaging and deployment of models and solutions as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks. Own complex problem resolution across environments, including production incidents related to AI systems. Governance‑by‑Design (Banking & Regulatory Alignment) Embed AI governance directly into engineering workflows, including: Security and access controls Data classification and handling Model risk management requirements Privacy and consent controls Responsible AI principles Auditability and regulatory traceability Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and e

Read the full description at jobs.scotiabank.com. FewerJobs shows a preview and links to the original posting.