Staff AI Engineer

🔥 20 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Acquia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Secondary Market on 2018-08

Consulting • Healthcare • Marketing

Acquia is a company that provides the Acquia Digital Experience Platform (DXP), which is built on the industry-leading Drupal open-source CMS. The platform is designed to help organizations manage their digital presence more effectively, with a suite of tools that include content management, SEO optimization, customer data management, and more. Acquia offers solutions for various industries, such as healthcare, government, and retail, to enhance their digital customer journeys. The platform integrates with over 80 tools, facilitating collaborative content creation and optimized delivery. Acquia is recognized as a leader in digital experience platforms and is committed to accessibility and customer success.

📋 Description

• Write and ship production AI code daily as an active contributor • Lead customer-context retrieval across semantic retrieval, indexing, and knowledge graph approaches • Enable agents to resolve customers and retrieve their full context in a single request • Build inference and signal layers over the Iceberg-based lakehouse • Write scored inferences back to the data platform and expose signals through contracts for other teams • Turn signals such as churn risk, usage and entitlement mismatch, and expansion opportunities into actionable workflows • Select appropriate large models, small fine-tuned models, or deterministic code for each workload • Manage inference costs • Own evaluation and observability for AI systems • Establish patterns for other teams and collaborate with engineering and business leaders to deliver company goals • Work across observability, the core data platform, and insights and intelligence alongside product and platform teams • Design, build, and ship production systems while iterating quickly

🎯 Requirements

• 8+ years of software engineering experience, including 3+ years shipping AI or ML systems to production • Strong programming fundamentals and deep proficiency in at least one language used for AI and data work; Python is the primary language for ML and insights • Fluency working with data at scale, including advanced SQL, a transformation layer such as dbt, and a distributed query engine over lakehouse or warehouse storage • Experience reasoning about query cost and partitioning • Production retrieval and context engineering, including embeddings, vector search, hybrid or graph retrieval, and measuring retrieval effectiveness • Experience with agentic systems and durable workflows in production, including tool calling, state and memory, and human-in-the-loop patterns • Experience with evaluation and observability for AI systems, including tracing, prompt and version management, and dataset-driven testing • Cloud deployment experience, preferably AWS, with containerized services and inference cost ownership • B.S. in Computer Science or equivalent practical experience • Experience with shared data or ML capabilities used by other teams • Experience with small and fine-tuned models, including distilling task-specific models • Observability data fluency, including OpenTelemetry and high-volume logs, metrics, and traces • Data governance knowledge covering access control, lineage, and data residency • Enterprise SaaS or CMS experience; familiarity with Acquia's Drupal-based DXP • Familiarity with AI-assisted coding tools such as Claude, Cursor, or Copilot, and MCP or similar technologies • Strong communication skills for presenting AI system design to engineers and C-suite stakeholders • Senior individual contributor track record and mentoring through technical work • AI fluency, orchestration mindset, radical adaptability, builder mentality, and intellectual humility

🏖️ Benefits

• Competitive healthcare coverage • Wellness programs • Take it when you need it time off • Parental leave • Recognition programs • Inclusive, transparent, efficient, and educational interview experience • Opportunities to grow your career and learn from a global team