Google Cloud Data & AI Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Slalom · 1 day ago

Google Cloud Data & AI Engineer

Slalom is a modern technology company that focuses on building strategies and solutions for clients. The Google Cloud Data & AI Engineer will collaborate with cross-functional teams to design and implement Google Cloud data and AI solutions, ensuring performance and compliance needs are met.

CollaborationConsultingIT ManagementManagement ConsultingProject Management
check
Culture & Values
check
H1B Sponsor Likelynote

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

Qualification

Google Cloud servicesData engineering conceptsAI engineeringMLOps pipelinesGoogle Cloud certificationsAgile methodologiesSecurity best practicesProblem-solving skillsCommunication skills

Required

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 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

Benefits

Meaningful time off and paid holidays
Parental leave
401(k) with a match
A range of choices for highly subsidized health, dental, & vision coverage
Adoption and fertility assistance
Short/long-term disability
Yearly $350 reimbursement account for any well-being-related expenses
Discounted home, auto, and pet insurance

Company

Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients

H1B Sponsorship

Slalom has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (215)
2024 (258)
2023 (250)
2022 (614)
2021 (254)
2020 (220)

Funding

Current Stage
Late Stage
Total Funding
$1.69M
2013-04-12Series Unknown· $1.69M

Leadership Team

leader-logo
Brad Jackson
CEO
linkedin
leader-logo
John Tobin
Co-Founder and Executive President, EMEA & APAC
linkedin
Company data provided by crunchbase