GCP AI Cloud Engineer / Architect

Role & responsibilities

Job Title: GCP AI Cloud Engineer / Architect

Location: India (Offshore)

Job Description:

We are seeking a highly skilled GCP AI Cloud Engineer / Architect with hands-on expertise in Gemini Agent Space, Vertex AI, and multi-cloud AI services. The ideal candidate should have strong programming and orchestration experience in GenAI, be familiar with vibe (Cursor) coding, and be capable of building and managing scalable AI infrastructures on Google Cloud Platform.

Key Responsibilities:

Design and deploy AI solutions using GCP Vertex AI and Gemini Agent Space. Integrate with Gemini Pro 1.x using API endpoints and manage AI service pipelines.

Build, manage, and optimize data pipelines and cloud infrastructure to support AI workloads. Implement IAM, data encryption, and compliance policies for secure AI model operations.

Work closely with GenAI leads and cross-functional teams to deliver backlog requirements and new features.

Conduct rapid experiments to evaluate emerging LLM model versions and integrate them into production.

Utilize Cursor (vibe) coding to streamline development and AI orchestration workflows.

Work with vector databases such as Pinecone, Chroma, or FAISS for retrieval-augmented generation.

Leverage Terraform for infrastructure automation and manage multi-cloud environments (GCP, AWS).

Required Skills:

Primary Skills: Gemini Agent Space, Vertex AI, AI Multi-Cloud Experience, Vibe (Cursor) Coding, Running AI Services

Secondary Skills: Terraform, Multi-Cloud (AWS) Strong programming experience in Python, PySpark, or Java.

Experience using GCP services for storage, serverless logic, search, transcription, and chat applications.

Hands-on exposure to LangChain or other LLM agent frameworks. Proven ability to work in GenAI orchestration environments and integrate advanced LLMs.

Experience: 7 to 15 years of overall experience, including hands-on AI/Cloud engineering or architecture in GCP environments.