Staff AI Engineer
Acquia - Remote-Canada
Posted Apr 29, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Staff AI Engineer Remote-Canada About Acquia Acquia is the digital experience platform built for a world where your audience isn't only human. Its agents too. As AI agents become active participants in how people discover, consume, and act on digital content, Acquia gives enterprise teams the platform to create, manage, and distribute experiences designed for both. Powered by agentic AI that orchestrates - not just advises - Acquia automates complex digital workflows within the governance guardrails large organizations require. The world's #1 Drupal hosting provider, Acquia brings together Content Management, Digital Asset Management, and Product Information Management in a single AI-powered Command Center: Acquia Source. Acquia. Built for every audience, human or otherwise. The Role: Acquia is seeking a Staff AI Engineer to join our AI Core Engineering team. This is first and foremost a hands-on engineering role - you will spend the majority of your time designing, building, and shipping production-grade agentic AI workflows across the Acquia DXP. LangGraph, Temporal, Pydantic and LangFuse are your primary tools; enterprise reliability, observability, and scale are your standards. You'll also play a light but meaningful mentoring role, helping to lift the AI engineering capability of those around you as the team grows. Key Responsibilities - Write and ship production AI code daily - you are an active contributor. - Architect agentic AI workflows using LangGraph, Temporal, Pydantic - stateful, multi-agent workflows built for enterprise scale and reliability. - Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking across all
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