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Forward Deployed Engineer (OpenAI Platform)

@ Urban Ridge Supplies

Toronto, Ontario

Full-time10+ years experience
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Overview

Urban Ridge Supplies, posting through OpsGuru (a Carbon60 Company), is hiring a full-time remote Forward Deployed Engineer to embed in customer environments and deliver OpenAI-powered data pipelines and agentic AI solutions. The role requires 10+ years of experience, mastery of the OpenAI Platform and Azure OpenAI Service, and occasional travel to customer sites. Pay is listed as 180K to 200K CAD per year.

Responsibilities:

  • Deploy into customer environments to audit data pipelines and deliver OpenAI integrations
  • Modernize legacy SQL databases and ETL jobs into lakehouses
  • Build RAG and agentic AI architectures using OpenAI APIs
  • Establish evaluation frameworks and manage token costs
  • Train client engineering teams on OpenAI and Azure security practices

Requirements summary:

  • 10+ years as principal data engineer or AI/solutions architect
  • Mastery of OpenAI Platform and Azure OpenAI APIs
  • Spec-driven development with AI coding tools
  • Executive presence with client C-suite
  • Willingness to travel about once per quarter

Tools & skills

Benefits mentioned

Health insuranceDentalRetirement planParental leave
Source and dates

Employer career site / ATS feed · teamtailor

Employer posting date
2026-09-24
First seen by our source
2026-10-11
Source record updated
2026-10-30

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience10+ years
Hours per week40 (estimated)
Travelair: minimal · ground: none
Work settingHome, Client sites
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedFlexible hours, Generous parental leave, Retirement plan, Employee discount, Wellness

Summary and details written by AI from the posting; the employer’s posting is the authority.

Urban Ridge Supplies

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Supplying high-quality pipes for residential, commercial, and industrial needs.

Full company description

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

LinkedIn followers
14,005
Reported office locations
  • Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
Other recorded names
  • Urban Ridge Supplies
Profile identifies a recruitment agency
No

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

FieldValue
IndustryWholesale Building Materials
Company size2-10 employees
HeadquartersZabeel, Dubai
Organization typePrivately Held
Open jobs on Jobsy124
LinkedInView page
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 (180K - 200K 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.


Job Id: OJ1oTV/zuXGTRoDsXK3SZL2L4Tp+lGjS7by8FZtvU6SSKlkdmorttPihE/EKgcJCgqlzD8q05JolrtTCqDdbMet7kMnMbBLDAXJHSrCJ+Vk7p/HCDK3PX+QUV5eoDSC+UoV5WMe6GvgfWW+wNU+WCYnk5ic=

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