Google Cloud Data & AI Engineer Join to apply for the Google Cloud Data & AI Engineer role at Slalom. Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid‑market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Responsibilities Design, build, and operationalize large‑scale enterprise data and AI solutions using Google Cloud services such as BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub and more. Implement cloud‑based data solutions for data ingestion, transformation, and storage; and AI solutions for model development, deployment, and monitoring, ensuring both areas meet performance, scalability, and compliance needs. Develop and maintain comprehensive architecture plans for data and AI solutions, ensuring they are optimized for both data processing and AI model training within the Google Cloud ecosystem. Provide technical leadership and guidance on Google Cloud best practices for data engineering (e.G., ETL pipelines, data pipelines) and AI engineering (e.G., model deployment, MLOps). Conduct assessments of current data architectures and AI workflows, and develop strategies for modernizing, migrating, or enhancing data systems and AI models within Google Cloud. Stay current with emerging Google Cloud data and AI technologies, such as BigQuery ML, AutoML, and Vertex AI, and lead efforts to integrate new innovations into solutions for clients.



Mentor and develop team members to enhance their skills in Google Cloud data and AI technologies, while providing leadership and training on both data pipeline optimization and AI/ML best practices. Qualifications Proven experience as a Cloud Data and AI Engineer or similar role, with hands‑on experience in Google Cloud tools and services (e.G., BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub, etc.). Strong knowledge of data engineering concepts, such as ETL processes, data warehousing, data modeling, and data governance. Proficiency in AI engineering, including experience with machine learning models, model training, and MLOps pipelines using tools like Vertex AI, BigQuery ML, and AutoML. Strong problem‑solving and decision‑making skills, particularly with large‑scale data systems and AI model deployment. Strong communication and collaboration skills to work with cross‑functional teams, including data scientists, business stakeholders, and IT teams, bridging data engineering and AI efforts. Experience with agile methodologies and project management tools in the context of Google Cloud data and AI projects. Ability to work in a fast‑paced setting, managing multiple Google Cloud data and AI engineering projects simultaneously. Knowledge of security and compliance best practices as they relate to data and AI solutions on Google Cloud. Google Cloud certifications (e.G., Professional Data Engineer, Professional Database Engineer, Professional Machine Learning Engineer)



or willingness to obtain certification within a defined timeframe. Hybrid/In‑office We are hybrid but expectations exist that if your team leader requires you onsite you are able to meet those expectations/requirements. Salary Slalom is committed to fair and equitable compensation practices. For this position, the expected base salary pay range is $84,000 to $130,000. In addition, there is potential for an 8% discretionary bonus based on individual and company performance. Benefits Culture & fun! Lunch & learns Health & wellness activities Holiday parties Employee community groups Social clubs & activities Vacation (20 days prorated based on start date & wellness/sick days) Competitive compensation package $100 cell phone monthly reimbursement Registered Retirement Program (RRSP) & Employer Matching Tax‑Free Savings Account (TFSA) Annual “Thrive Well‑Being” Gift Card Family planning / Fertility Benefit Maternity / Parental Leave Top‑Up Medical & Dental Benefits Life and AD&D Insurance Access to Supplementary Life and AD&D Insurance Access to the Employee Assistance Program (EAP) and Inkblot Therapy And more! All benefit eligibility and details are subject to qualification. Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI, please read our TA AI Usage policy here. Please note if you are hired at Slalom you will be required to complete a background check. #J-18808-Ljbffr

📌 Google Cloud Data & Ai Engineer - $84,000 - $130,000 A Year (Toronto)
🏢 Slalom
📍 Toronto