Google Cloud Data & AI Engineer

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As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

• Design, build, and operationalize large-scale enterprise data and AI solutions using Google Cloud services such as Big Query, 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 Big Query 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.

• Proven experience as a Cloud Data and AI Engineer or similar role, with hands‑on experience in Google Cloud tools and services (e.g., Big Query, 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, Big Query 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 environment, 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.

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.

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a…