Publié le mois dernier
Forward Deployed Engineer (OpenAI Platform)
@ Urban Ridge Supplies
Toronto, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · teamtailor
- Date publiée par l’employeur
- 2026-09-24
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-10-30
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 10 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : minimes · route : aucun |
| Milieu de travail | Domicile, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Horaire flexible, Congé parental généreux, Régime de retraite, Rabais employé, Mieux-être |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Urban Ridge Supplies
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Supplying high-quality pipes for residential, commercial, and industrial needs.
Description complète de l’entreprise
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
- Abonnés LinkedIn
- 14 005
- Bureaux déclarés
- Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
- Autres noms enregistrés
- Urban Ridge Supplies
- Le profil indique une agence de recrutement
- Non
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
| Champ | Valeur |
|---|---|
| Secteur | Wholesale Building Materials |
| Taille | 2-10 employees |
| Siège social | Zabeel, Dubai |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 124 |
| Voir la page |
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.
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