Perficient is seeking a GCP AI Architect/Engineer to lead the design and implementation of cutting-edge AI solutions, specifically leveraging Google Cloud Platform (GCP), Vertex AI, and Agentspace, to transform large enterprises and brands.
Requirements
- Proven hands-on expertise with Google Cloud Platform, especially Vertex AI.
- Must have experience with Agentspace
- Strong programming skills in Python, TensorFlow, or similar ML libraries.
- Familiarity with BigQuery, Looker, and GCP-native tools.
- Experience in Generative AI and autonomous agent systems.
- Knowledge of cloud security protocols across GCP, AWS, or Azure.
- Candidates who do not have Vertex AI experience will not be considered.
Responsibilities
- Architect and build scalable AI systems using Vertex AI and Agentspace frameworks.
- Design and deploy agent-based AI workflows for enterprise-grade applications.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Ensure cloud security and compliance across GCP services.
- Optimize performance and cost-efficiency of AI pipelines.
- Stay current with emerging AI technologies and contribute to innovation initiatives.
- Leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
Other
- 10+ years of experience in AI/ML engineering, data architecture, or cloud solutions.
- Ability to work independently and deliver high-impact solutions.
- Strong communication skills must be able to describe and explain complex AI/ML, GenAI concepts and models to business leaders.
- Strong communication and documentation skills.
- A solid understanding of AI capabilities and limitations including ethical considerations is expected
