Tech Architect - GCP AI (Gemini)

Responsibilities:

• Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies.
• Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions.
• Design and optimize AI architectures for performance, reliability, and cost-effectiveness.
• Establish best practices for AI model development, deployment, and monitoring.
• Ensure compliance with ethical AI principles, data governance, and security standards.
• Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers.
• Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem.
• Troubleshoot and resolve complex technical issues related to AI systems.
• Document architectural designs, technical decisions, and best practices for future reference.

Eligibility Criteria:

• Bachelor's or master's degree in computer science, Data Science, or a related field.
• Extensive experience with GCP AI services and Gemini technologies.
• Strong understanding of AI architecture, machine learning, and optimization techniques.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with cloud-based AI solutions and MLOps practices is a plus.
• Familiarity with ethical AI principles and frameworks.
• Knowledge of data governance, compliance standards, and security protocols.
• Excellent problem-solving and analytical skills.
• Proven leadership and team management abilities.
• Ability to work in a fast-paced environment and manage multiple priorities.

Total Experience

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