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Openai Remote Jobs in Ontario (NOW HIRING)

Service Now AI DevOps Engineer

Mississauga, ON ยท On-site +1

CA$99K - CA$132K/yr

Experience with Azure OpenAI, Microsoft Copilot, enterprise AI platforms, or large language models ... Primarily remote or hybrid work environment based on business needs. * Occasional travel for team ...

Service Now AI DevOps Engineer

Mississauga, ON ยท On-site +1

CA$99K - CA$132K/yr

Experience with Azure OpenAI, Microsoft Copilot, enterprise AI platforms, or large language models ... Primarily remote or hybrid work environment based on business needs. * Occasional travel for team ...

Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years * Experience working in ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years * Experience working in ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Openai Remote information

What is an OpenAI Remote?

OpenAI remote jobs are positions offered by OpenAI that allow employees to work from locations outside of a traditional office setting. These roles can span a variety of fields such as research, engineering, operations, and more, enabling team members to collaborate virtually from anywhere in the world. OpenAI supports a flexible work environment and seeks to attract talent globally by offering remote opportunities. Applicants are still expected to meet certain criteria, such as time zone compatibility and strong communication skills. Remote employees typically interact with their teams through digital tools and regular virtual meetings.

What skills and qualifications are needed to thrive as an OpenAI Remote employee?

To thrive as an OpenAI Remote employee, you generally need strong expertise in artificial intelligence, machine learning, or software engineering, often supported by an advanced degree or significant industry experience. Familiarity with tools such as Python, PyTorch or TensorFlow, as well as version control systems like Git, is typically required. Exceptional communication, self-motivation, and the ability to collaborate effectively across time zones are crucial soft skills in a remote environment. These competencies ensure high productivity, seamless teamwork, and the ability to drive innovation in a distributed, fast-evolving field.

What challenges do OpenAI Remote employees face, and how does the company support remote collaboration?

Remote employees at OpenAI often face challenges such as maintaining clear communication across time zones, building strong connections with colleagues, and staying engaged with fast-paced project updates. To address these, OpenAI utilizes a range of collaboration tools, holds regular virtual meetings, and fosters a culture of transparency and support. The company also encourages asynchronous communication and provides resources to help remote team members feel included and aligned with organizational goals.

What is the difference between Openai Remote vs Data Scientist?

AspectOpenai RemoteData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degreeRequires a degree in statistics, computer science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, collaborative online platforms, flexible hoursOften remote or in-office, collaborative teams, project-based work
Industry UsageAI research, tech companies, startupsTech, finance, healthcare, consulting
Common Search & ComparisonYesYes

Openai Remote roles focus on AI and machine learning tasks, often requiring programming skills and familiarity with AI tools. Data Scientists analyze data to inform business decisions, requiring statistical and analytical expertise. While both roles may be remote and involve data or AI, Openai Remote positions are more specialized in AI development, whereas Data Scientists focus on data analysis across various industries.

Does ChatGPT have remote jobs?

OpenAI offers remote job opportunities, including roles related to ChatGPT development, research, and support. These positions often require skills in AI, machine learning, or software engineering and are typically available to applicants worldwide, depending on the role and location requirements.

What are popular job titles related to Openai Remote jobs in Ontario?

For Openai Remote jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Openai Remote job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Forward Deployed Engineer (OpenAI Platform)

OpsGuru

Toronto, ON โ€ข Remote

Full-time

Retirement

Posted 3 days ago

New


Job description

Forward Deployed Engineer (OpenAI Platform)

Location: Remote Time zone: NA/Eastern Type: Full-time Experience: 10+ Years


Role Overview

This position requires a Forward Deployed Engineer (FDE) specializing in Data, Machine Learning, and OpenAI technologies to embed directly within customer environments. You will serve as the primary technical authority transforming legacy data estates and operational bottlenecks into production-grade data pipelines, OpenAI-powered agentic workflows, and enterprise AI solutions.


The role is heavily customer-facing: you will work alongside client business units and engineering teams to rapidly build modern data platforms and deploy custom OpenAI architectures (leveraging o-series reasoning models, Assistants API, and Azure OpenAI Service). This is a high-ownership, hands-on role where you will leverage Spec-Driven Development (SDD) and AI-assisted workflows to drive immediate enterprise value directly where the customer operates.


Key Responsibilities

  • Customer Embedding & OpenAI Delivery: Deploy directly into customer environments to audit domain logic and data pipelines. Own end-to-end delivery-from data discovery to OpenAI API integration and model fine-tuning-building trust as the customer's lead technical partner.
  • Data Platform Modernization: Partner with client leadership to refactor legacy SQL databases, monolithic ETL jobs, or unmaintained data warehouses into modern lakehouses optimized for low-latency retrieval and OpenAI embeddings.
  • Spec-Driven Development (SDD): Apply a "spec-first" engineering workflow using OpenAI-powered tools (Cursor, Copilot). Write structured specifications (schemas, function definitions, transformations) to auto-generate production PySpark jobs, data models, and API wrappers.
  • OpenAI & Agentic AI Implementation: Architect production-grade solution pipelines utilizing OpenAI Assistants API, Structured Outputs, Function Calling/Tool Use, and multi-agent orchestration SDKs. Build advanced RAG architectures using OpenAI Embeddings and specialized vector engines.
  • LLMOps, Evals & Cost Optimization: Establish robust evaluation frameworks (OpenAI Evals) to measure accuracy, latency, and hallucination control. Implement aggressive token budget management, prompt caching, batch processing via OpenAI Batch API, and circuit breakers.
  • Client Enablement & Enterprise Governance: Train customer engineering teams on OpenAI best practices, Azure OpenAI security standards (VNet, RBAC, Data Privacy), SDD methodologies, and maintainable MLOps patterns.


Requirements

  • 10+ Years of Experience: Proven track record as a Principal Data Engineer, Lead ML/AI Architect, or Enterprise Solutions Architect scaling distributed data systems.
  • OpenAI Ecosystem Depth: Mastery of OpenAI Platform APIs, Azure OpenAI Service, Fine-Tuning, Structured Outputs, Function Calling, Realtime API, and OpenAI Vector Stores/Embeddings.
  • Customer-Facing Aptitude: Strong executive presence to interface directly with client C-suite stakeholders and technical engineering leads.
  • Generative AI & SDD Experience: Demonstrated proficiency using structured natural language specs to guide AI tools in auto-generating ETL jobs, test suites, and schema contracts.
  • Willingness to Travel: Comfort with occasional travel (once/quarter to customer sites.


Preferred Qualifications

  • Prior experience in a Software/Data Engineer or technical consulting role within enterprise AI.
  • Direct experience migrating on-premises legacy data systems to Azure OpenAI cloud architectures.
  • Deep understanding of AI governance, content safety filtering, and private endpoint deployments for OpenAI workloads.


Compensation & Perks

  • Competitive compensation package (160K - 180K CAD / year)
  • Retirement Savings Matching Program (RRSP)
  • Access to the latest tech
  • Partnership with Perkopolis Discounts

Flexibility & Time Off

  • Remote first work environment
  • Flexible work hours & location
  • Paid parental leave options

Health & Wellness

  • Employer paid health & dental premiums
  • GreenShield+ Counselling Mental Health
  • $500 in Health Care Spending Account annually

Growth & Development

  • Peer recognition rewards


As an employer, OpsGuru, a Carbon60 Company, recognizes the importance of balancing our careers with other aspects of our lives, and our culture reflects this ethos - from flexible work hours to health and wellness incentives and having fun along the way. We look for people who thrive in an environment of accountability and at times ambiguity as we adapt and grow our business.

OpsGuru is an equal-opportunity employer. We welcome and encourage applications from people with all levels of ability. Accommodations are available on request for candidates taking part in all aspects of the selection process. We thank all applicants for their interest in this exciting opportunity.


Only candidates that meet the qualifications will be contacted for an interview.