Responsibilities

- Design and implement scalable solutions on Google Cloud Platform (GCP) using Vertex AI.
- Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications.
- Develop and maintain architectural documentation, including architecture diagrams and design specifications.
- Provide technical leadership and guidance to development teams in the implementation of AI/ML solutions.
- Optimize existing GCP services and workflows for performance and cost-efficiency.
- Conduct technical workshops and training sessions for stakeholders on GCP and Vertex AI capabilities.
- Stay updated with the latest trends and advancements in cloud computing and AI technologies.

Skills and Qualifications

- 14-20 years of experience in cloud architecture and solutions design, specifically with GCP.




- Deep understanding of Google Cloud services, particularly Vertex AI, BigQuery, and Dataflow.
- Robust programming skills in Python, Java, or Go.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Proficiency in designing and implementing CI/CD pipelines for cloud-based applications.
- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
- Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.

📌 GCP / Vertex AI Solutions Architect (Bengaluru)
🏢 Cognizant Technology Solutions India
📍 Bengaluru