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About the Role
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. 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Mastery of OpenAI Platform APIs, Azure OpenAI Service, Fine-Tuning, Structured Outputs, Function Calling, Realtime API, and OpenAI Vector Stores/Embeddings.
- Strong executive presence to interface directly with client C-suite stakeholders and technical engineering leads.
- Demonstrated proficiency using structured natural language specs to guide AI tools in auto-generating ETL jobs, test suites, and schema contracts.
- Comfort with occasional travel (once/quarter to customer sites).
Skills
- Data
- Machine Learning
- OpenAI technologies
- Data pipelines
- OpenAI-powered agentic workflows
- Enterprise AI solutions
- OpenAI API integration
- Model fine-tuning
- Legacy SQL databases
- Monolithic ETL jobs
- Data warehouses
- Lakehouses
- Low-latency retrieval
- OpenAI embeddings
- Spec-Driven Development (SDD)
- AI-assisted workflows
- OpenAI-powered tools (Cursor, Copilot)
- PySpark jobs
- Data models
- API wrappers
- OpenAI Assistants API
- Structured Outputs
- Function Calling/Tool Use
- Multi-agent orchestration SDKs
- RAG architectures
- OpenAI Embeddings
- Vector engines
- LLMOps
- OpenAI Evals
- Token budget management
- Prompt caching
- OpenAI Batch API
- Circuit breakers
- Azure OpenAI security standards (VNet, RBAC, Data Privacy)
- Maintainable MLOps patterns
- Generative AI
Location
- Remote
Work Type
- Full-time
- Remote first work environment
- Flexible work hours & location
Experience Level
- 10+ Years
Salary/Compensations
- 180K - 200K CAD / year
Benefits
- Retirement Savings Matching Program (RRSP)
- Access to the latest tech
- Partnership with Perkopolis Discounts
- Paid parental leave options
- Employer paid health & dental premiums
- GreenShield+ Counselling Mental Health
- $500 in Health Care Spending Account annually
- Peer recognition rewards
About the Company
- 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.
Equal Opportunity
- 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.