About the Role
We are seeking a highly experienced and innovative GCP Senior 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.

Key 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.

• Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.

• 8-12 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.

• Preferred Skills

• Experience with multi-cloud or hybrid cloud environments.

• Familiarity with data governance, security, and compliance in AI solutions.

. Excellent communication and stakeholder management skills.