GCP Cloud Architect -Vertex AI

Seeking a GCP Cloud Architect with specialized expertise in Generative AI and Vertex AI to join our dynamic team. The ideal candidate will play a key role in architecting and designing AI-driven solutions leveraging Google Cloud Platform (GCP). This position requires deep technical knowledge in cloud architecture, machine learning (ML), natural language processing (NLP), and generative AI. You will lead the development of cutting-edge AI products and solutions, using GCP s Vertex AI platform to build, train, and deploy ML models at scale.

• Lead the design and architecture of AI-driven solutions using GCP and Vertex AI services.
  Architect scalable and secure GCP cloud environments, with a focus on AI and machine learning pipelines, automation, and data integration.
• Develop end-to-end generative AI models, encompassing data ingestion, model training, evaluation, deployment, and monitoring.
• Ensure seamless integration of Vertex AI with other GCP services like BigQuery, Cloud Storage, Dataflow, AI Hub, and AutoML.
• Build, train, and deploy generative AI models such as GPT, BERT, and Transformer models for various use cases including text generation, chatbots, and AI-powered recommendations.
• Utilize Vertex AI to manage the lifecycle of ML models, including data versioning, experiment tracking, model performance evaluation, and CI/CD pipelines for AI.
• Guide the development of AI use cases such as predictive analytics, natural language understanding (NLU), image generation, and automated content creation.
• Provide technical leadership in cloud architecture, AI development, and the implementation of cutting-edge technologies.
• Collaborate with data science, engineering, and product teams to translate business requirements into AI-based solutions and cloud architectures.
• Develop and document best practices, guidelines, and reference architectures for deploying AI solutions on GCP.
• Conduct technical evaluations of third-party AI tools, libraries, and frameworks to ensure optimal fit for organizational needs.

• Google Cloud Professional Architect Certification or Google Cloud Machine Learning Engineer Certification.
• Experience working with enterprise-level AI projects in industries like finance, healthcare, or retail.
• Hands-on experience with NLP, computer vision, and predictive modeling
  

Benefits of Working Here

• Flexible vacation policy; time is not limited, allocated, or accrued
• 16 paid holidays throughout the year
• Generous parental leave and new parent transition program
• Tuition reimbursement
• Corporate gift matching program

Pay Range: $135,000-175,000.

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us athiring@publicissapient.comor you may call us at +1-617-621-0200.

Your information will be kept confidential according to EEO guidelines.

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.