1

Assistant Bridge Engineer Jobs in Ontario (NOW HIRING)

AI Engineer

Ottawa, ON · On-site

CA$77K - CA$117K/yr

  • PTO

... bridge experimental machine learning with scalable software engineering. In this replacement role ... Adhere to established AI risk management, data governance, and security policies, and assist with ...

Bridge the gap between business needs and technology. Translate high level business problems and ... Provide guidance during development lifecycle, assist with UAT and defect resolution. * Provide ...

AI Engineer

London, ON · On-site

CA$77K - CA$117K/yr

  • PTO

... bridge experimental machine learning with scalable software engineering. In this replacement role ... Adhere to established AI risk management, data governance, and security policies, and assist with ...

AI Engineer

Oakville, ON · On-site

CA$77K - CA$117K/yr

  • PTO

... bridge experimental machine learning with scalable software engineering. In this replacement role ... Adhere to established AI risk management, data governance, and security policies, and assist with ...

AI Engineer

Toronto, ON · On-site

CA$77K - CA$117K/yr

  • PTO

... bridge experimental machine learning with scalable software engineering. In this replacement role ... Adhere to established AI risk management, data governance, and security policies, and assist with ...

AI Engineer

Markham, ON · On-site

CA$77K - CA$117K/yr

  • PTO

... bridge experimental machine learning with scalable software engineering. In this replacement role ... Adhere to established AI risk management, data governance, and security policies, and assist with ...

... Engineer will assist with the planning, building and operation of Cloud-based infrastructure. They will bridge gaps between on-premises networks and Cloud-based networks, extending the Cloud ...

  • Medical

  • Retirement

  • PTO

... Champlain Bridge, the Reseau Express Metropolitain (REM) and the Site C hydro\-electric power ... Degree in Civil Engineering or Construction Management, or Civil Engineering Technology; \n

Ultimately, you will bridge the gap between development and operations by engineering highly ... Hands-on experience leveraging AI coding assistants, specifically GitHub Copilot , to accelerate ...

Full Stack Engineer

Chatsworth, ON · On-site

CA$130K - CA$150K/yr

In this role, you'll bridge the gap between the virtual and the physical, writing software that ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

  • Medical

  • Dental

  • Retirement

  • PTO

... Champlain Bridge, the Reseau Express Metropolitain (REM) and the Site C hydro\-electric power ... Degree in Civil Engineering; \n * 4 \- 5 years experience in structures and\/or grading work; \n

Showing results 21-40

Assistant Bridge Engineer information

What is the difference between Assistant Bridge Engineer vs Bridge Engineer?

AspectAssistant Bridge EngineerBridge Engineer
CredentialsBachelor's degree in civil engineering; some roles may require engineering internship experienceBachelor's degree in civil engineering; Professional Engineer (PE) license often preferred
Work EnvironmentAssist in design, inspection, and project coordination under supervisionLead design, project management, and decision-making responsibilities
Employer & Industry UsageUsed by construction firms, government agencies, and consulting companiesTypically employed in senior roles within similar organizations

Assistant Bridge Engineers support project teams with design and inspections, while Bridge Engineers take on leadership and decision-making roles. Both roles require similar educational backgrounds, but Bridge Engineers usually hold professional licenses and have more experience.

What are the most commonly searched types of Bridge Engineer jobs in Ontario? The most popular types of Bridge Engineer jobs in Ontario are:

Full-time

Posted 3 days ago

New


Job description

We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader who has built scalable software systems and has experience leveraging AI technologies to solve complex business problems.

You will partner closely with Engineering, Product, Data, and Technology leaders to design and deliver modern, resilient, and intelligent solutions. While experience with AI and machine learning technologies is important, this role is fundamentally an engineering leadership position focused on architecture, platform development, system design, and software delivery excellence.

This is a hands-on role requiring strong technical depth, architectural thinking and the ability to influence engineering direction across multiple teams.

What You Will Be Responsible For:

You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.

1. Build & Ship AI Applications (Primary Focus)

  • Design, develop, and deploy AI-powered applications and workflows
  • Write production-quality code across:
    • Backend services and APIs
    • AI orchestration layers and agents
    • Enterprise integrations
  • Rapidly prototype solutions and iterate them into scalable production systems
  • Own delivery end-to-end: build, test, deploy, monitor, and improve

2. Design Practical, Scalable AI Systems

  • Translate use cases into clear, implementable system designs
  • Make architecture decisions that balance:
    • Speed of delivery
    • Scalability and reliability
    • Cost and operational efficiency
  • Define patterns for:
    • API-first integrations
    • AI orchestration and workflows
    • Reusable services and components
  • Ensure systems are simple enough to build quickly, but structured enough to scale

3. Integrate AI into Real Enterprise Workflows

  • Embed LLM capabilities into products, internal tools, and business processes
  • Build and maintain APIs and system integrations
  • Implement agent workflows and orchestration logic that solve real operational problems
  • Optimize systems for performance, resilience, and cost efficiency

4. Partner with Business & Deliver Outcomes

  • Work directly with stakeholders to understand problems and validate solutions
  • Translate requirements into working software quickly (days/weeks, not months)
  • Iterate based on feedback and usage to drive measurable impact

5. Contribute to Engineering Standards & Reuse

  • Build and contribute to shared libraries, templates, and services
  • Establish practical patterns based on real implementations
  • Help evolve internal platforms through code and working solutions, not just design artifacts

6. Build Within a Governed AI Environment

  • Implement secure and reliable AI solutions in practice, including:
    • Prompt safety and validation
    • Injection/misuse prevention
    • Observability and traceability
  • Align implementations with enterprise security, privacy, and compliance requirements

Technology Environment

  • Cloud & Platform: Microsoft ecosystem (Azure)
  • AI Models: Claude and other enterprise-approved LLMs
  • Architecture Style: API-first, event-driven, and modular services
  • Core Focus:
    • AI application engineering
    • Orchestration and agent workflows
    • Enterprise integrations
What you bring:

Hands-On Engineering Strength (Critical)

  • 8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms.Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations.Strong engineering fundamentals with the ability to influence technical direction across teams and organizations.

System Design & Architecture Judgment

  • Deep expertise in designing scalable, resilient, and maintainable software architectures.
  • Experience making trade-offs across:
    • delivery speed vs scalability
    • simplicity vs flexibility
  • Can move fluidly between coding and design thinking

AI / GenAI Development

  • 3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments.
  • Strong understanding of:
    • Prompt design and evaluation
    • Agent-based workflows and orchestration
    • Integrating AI into production systems
  • Ability to debug, tune, and improve AI behavior in code
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job