AI Harness Engineer building reliable AI tools, agent harnesses, and P2P systems for Tether’s local AI platform. Developing QVAC features that connect users to scalable local AI.
About the role
- AI Technical Specialist at Teck automating AI intake and analysis processes. Collaborating within Data Science team to ensure governance and performance of AI portfolio.
Responsibilities
- Reporting to the Manager, Data Science, the AI Technical Specialist will make hands on contributions to automate intake capture and analysis of ongoing and planned AI initiatives at Teck.
- Build and run the intake agents, dashboards, and AI tool usage telemetry to create visibility into the performance of Teck’s AI portfolio.
- Turn AI process and governance decisions into working systems.
- Build, configure and maintain the Intake agent (process logic, permissions, validation, workflows/notifications).
- Build and own datasets/dashboards for initiative portfolio, adoption, usage, and value indicators; establish refresh schedules and data quality checks.
- Implement lightweight metadata standards (owners, lifecycle stage, evidence links, compliance flags) to support audit readiness.
- Ensure tooling respects data governance and security standards (access controls, retention, sensitivity labels, least‑privilege).
- Integrate with existing security/privacy processes (e.g., evidence links, approval records) and surface compliance coverage in dashboards.
- Support AI tool rollout: coordinate with IT/Infrastructure on tenant readiness, licensing views, and telemetry; build adoption/usage reports and value snapshots.
Requirements
- 4–7 years in technical operations/engineering or analytics roles with hands‑on experience in integrating diverse data sources for telemetry reporting.
- Strong grasp of access control, data classification/sensitivity, and basic privacy/security practices; able to implement them in Microsoft 365.
- Ability to turn ambiguous reporting needs into robust datasets and visuals; comfortable with stakeholder demos and iterative delivery.
- Exposure to M365/Copilot admin and telemetry sources; familiarity with tenant configuration considerations.
- Scripting for automation, data wrangling, and analysis.
- Experience in enterprise environments with audit requirements.
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