Dew Software is seeking a skilled GCP – Vertex AI Architect to join our team of experts in driving digital transformation and innovation for our clients. As a leading player in the Digital Transformation space, we pride ourselves on delivering high-quality outcomes and staying ahead in today’s rapidly evolving digital landscape.

The GCP – Vertex AI Architect will play a critical role in designing and implementing solutions using Google Cloud Platform’s (GCP) Vertex AI services. You will collaborate with our clients and internal technical teams to understand business requirements and architect scalable and efficient solutions. Our organization operates from multiple global development centers, providing opportunities to collaborate with diverse talent and expertise from around the world.

We are a CMMi Level 3 and ISO certified company that embraces cutting-edge technologies, and as a GCP – Vertex AI Architect, you will have the opportunity to work on projects for Fortune 500 companies, supporting their digital transformations and driving their success in the market.

Responsibilities

• Design and architect scalable and efficient solutions using GCP’s Vertex AI services.
• Collaborate with clients and internal technical teams to understand business requirements and provide expert guidance on best practices for utilizing Vertex AI services.
• Ensure solutions are secure, maintainable, and aligned with industry standards and best practices.
• Develop prototypes and proof of concepts to validate and demonstrate solutions.
• Work closely with software developers to define technical requirements for implementing solutions.
• Provide technical leadership and guidance to project teams throughout the software development life cycle.
• Stay up to date with GCP’s Vertex AI services and industry trends to drive innovation and continuous improvement.

• Model deployment in Vertex AI
• Model management and monitoring
• Automation using Vertex Pipelines
• Batch and online model serving
• Testing and governance considerations
• Should have good experience in building and maintaining the infrastructure for data engineering pipelines on GCP and work closely with data engineering and software development teams to ensure smooth and efficient deployment and operation of data processing and analytics systems.
• Strong understanding of GCP services and their applications in data engineering and analytics, including Big Query, Vertex AI.
• Design, implement, and maintain scalable and reliable infrastructure on GCP for data engineering and analytics workloads.
• Collaborate with data engineers and software developers to design and deploy efficient data pipelines.
• Automate and optimize the deployment and configuration of data engineering and analytics tools and services on GCP.