5 дней назад
AI Agent Engineer (Commercial AI Transformation)
120 000 - 150 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Agent Engineer (Commercial AI Transformation) (LLM agents and enterprise integrations): Building and deploying AI agents that automate sales, customer success, and commercial operations workflows with an accent on production reliability, data pipelines, and governed enterprise integrations. Focus on designing agent chains, processing data from source systems through warehouses and search indexes, and applying access control, testing, monitoring, and release discipline.
Location: Vancouver, British Columbia, Canada; fully onsite five days per week for the first six months, followed by a hybrid model with at least 50% onsite attendance
Salary: CAD 120,000–150,000 per year
Company
provides AI-enabled governance, risk, and compliance SaaS solutions through its One Platform.
What you will do
- Map commercial business processes and design, build, deploy, and refine AI agents and agent chains.
- Build and maintain data pipelines using source systems such as Microsoft Graph API, Teams, and Snowflake.
- Develop Workato or similar iPaaS recipes and API endpoints with logging and monitoring.
- Prepare data for enterprise search and AI indexing, including filtering, summarization, sensitivity handling, and permission-aware retrieval.
- Apply access controls, OAuth protection, IP whitelisting, SSO, group restrictions, and data minimization.
- Own agents from proof of concept through production, including testing, version control, deployment, monitoring, error handling, and recovery.
Requirements
- Bachelor’s degree in Computer Science, AI/ML, or a related field.
- 4+ years of software development experience, including business process automation at meaningful scale.
- Strong SDLC fundamentals covering Git, code review, testing, and release/deployment practices.
- Hands-on experience with iPaaS or automation platforms and cloud data warehouses such as Workato and Snowflake.
- Recent experience designing, building, and deploying LLM-based agents or agentic workflows into production.
- Working knowledge of enterprise identity, access control, SSO, OAuth, group permissions, and commercial operations.
Nice to have
- Experience with Glean or other enterprise search and knowledge platforms.
- Familiarity with Microsoft Purview, Defender, Graph API, Panther, Splunk, Salesforce, or similar tools.
- Presales, customer success, or commercial operations experience.
- Mentoring experience and familiarity with test-driven development.
Culture & Benefits
- Flexible work environment with a hybrid model after the initial onsite period.
- Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
- Global days of service and employee resource groups supporting diversity and inclusion.
- Collaboration across offices in North America, Europe, Asia, and Australia.
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