Forward Deployed Engineer (OpenAI Platform)

 Posted an hour ago
  
 Canada
  
 160K - 200K per year
  
10+ years experience
Apply Now

Please mention DailyRemote when applying

?/100
Resume Match Score

Match your resume skills with our AI powered skill match!

Get professional review

AI Summary

The Forward Deployed Engineer will embed within customer environments to modernize data pipelines and deploy production-grade OpenAI agentic workflows. They are responsible for architecting AI solutions, managing LLMOps, and training client teams on enterprise AI governance and best practices.

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.

Similar Jobs

See all Remote Software Development jobs →

Personalize your Remote Job Search in 3 Easy Steps!

Discover remote opportunities in Software Development

Answer easy questions

Answer easy questions

200,000+ jobs across 15+ categories

Get your best job matches

Get your best job matches

Only hand-screened, legit jobs

Find a remote job faster

Find a remote job faster

No ads, scams, or junk

I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!

Sarah J. — Sarah J. · Marketing Manager ★★★★★ Verified