We are seeking a highly experienced and innovative GCP Solution Architect with a strong background in Generative AI (GenAI) to lead the design and implementation of cutting-edge cloud-native solutions. This role will be pivotal in driving AI-first digital transformation initiatives for our clients across industries.
Responsibilities
• Architect and design scalable, secure, and high-performance solutions on Google Cloud Platform (GCP).
• Lead the development and deployment of GenAI-powered applications using tools like Vertex AI, PaLM, Gemini, and custom LLMs.
• Collaborate with cross-functional teams including data scientists, ML Engineers, and business stakeholders to translate business needs into technical solutions.
• Provide Technical leadership and mentorship to Engineering teams.
• Conduct architecture reviews, proof-of-concepts (PoCs), and performance tuning.
• Stay current with emerging GenAI trends and GCP services to continuously improve solution offerings.
Skills Requirement
• Bachelor’s degree in Computer Science/ Engineering/Information Technology/related field.
• 7-11 years of experience in IT with at least 4 years in GCP architecture roles.
• Proven experience with GenAI frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Strong understanding of LLM fine-tuning, prompt engineering, and model evaluation.
• Expertise in GCP services: BigQuery, Cloud Functions, GKE, Cloud Run, Pub/Sub, etc.
• Hands-on experience with MLOps and CI/CD pipelines in cloud environments.
• GCP Professional Cloud Architect certification is a plus.
• Experience with multi-cloud or hybrid cloud environments.
• Familiarity with data governance, security, and compliance in AI solutions
• Excellent communication and stakeholder management skills.
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