GCP Data Lead

Job Summary

Job Summary

We are looking for a highly skilled Full Stack Agentic AI Engineer with strong** Cloud and Data Engineering capabilities** to build intelligent AI agents and end-to-end AI solutions on** Google Cloud Platform (GCP)**. The ideal candidate should have expertise in Vertex AI,GCP ADK, modern AI frameworks, and cloud-native data services. Also should have hands on experience to do prompt engineering, context engineering and harness engineering for and ability to work on challenge labs to solve problems and show skills

Key Responsibilities

• Design and build Agentic AI applications and multi-agent workflows on** GCP**.

• Develop and deploy AI solutions using Vertex AI and** GCP ADK**.

• Build full-stack AI applications integrating backend services, APIs, and user interfaces.

• Implement Prompt Engineering,RAG workflows, and AI orchestration patterns.

• Work with Big Query, Dataproc, and Dataplex for analytics, processing, and governance.

• Develop scalable, secure, and production-grade AI systems.

• Manage code, CI/CD pipelines, and DevOps lifecycle activities.

Quickly adapt and deliver using new technologies and AI advancements

Skill Requirements

Required Skills

• Strong experience in GCP,Vertex AI, and GCP ADK

• Proficiency in Python

• Experience with Agentic AI, AI agents, and LLM ecosystems

• Hands-on knowledge of Big Query, Dataproc, and Dataplex

• Prompt Engineering and GenAI concepts

• Experience with RAG, vector databases, and API integrations

• Git, CI/CD, and DevOps practices

Desired Traits

• Fast learner with strong problem-solving skills

• Ability to quickly learn and deliver on new technologies

• Self-driven with strong ownership and innovation mindset

Other Requirements

1.Google Cloud Professional Data Engineer certification is preferred.