Enterprise AI Deployment Lead (Remote Canada)

Jaide Health

Canada

On-site

CAD 175,000 - 215,000

Full time

14 days+
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Benefits offered by this job

Equity or incentive compensation
Canada-wide remote flexibility
Extended health, dental, vision
Flexible paid time off

Job summary

Ranger AI in Canada is seeking an experienced leader to own technical delivery for enterprise customers, from discovery to production deployment on the Ranger platform. This execution-heavy role partners with Account Owners and Product Managers to guide engagements, act as the primary technical authority, and scope complex data environments.

You will write production pipeline code and ensure customer acceptance benchmarks, while feeding learnings back into product and engineering to build

Qualifications

  • 7+ years shipping production backend or AI software in Python/TypeScript/Node.js.
  • 3+ years in high-touch, customer-facing technical roles with enterprise accounts.
  • Experience leading technical conversations with VPs, architects, and security leads.
  • Hands-on experience building and deploying production LLM systems and RAG pipelines.

Responsibilities

  • Lead technical discovery sessions with enterprise IT and business leaders.
  • Serve as the trusted technical counterpart to enterprise stakeholders.
  • Architect, build, and deploy production AI pipelines for industrial docs.
  • Integrate data sources, ERPs, and document systems with the Ranger platform.
  • Define evaluation suites, guardrails, and observability for production environments.
  • Identify reusable platform patterns and drive hardening into core features.

Skills

Software engineering
Customer-facing roles
AI systems
Production pipelines
Cloud platforms
Docker
REST/GraphQL APIs
Travel readiness
Leadership

Tools

AWS
Azure
GCP
Docker
Neo4j

Job description

Ranger AI in Canada is seeking an experienced leader to own technical delivery for enterprise customers, from discovery to production deployment on the Ranger platform. This execution-heavy role partners with Account Owners and Product Managers to guide engagements, act as the primary technical authority, and scope complex data environments.

You will write production pipeline code and ensure customer acceptance benchmarks, while feeding learnings back into product and engineering to build

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