GCP AI Architect — Hybrid, LLM & Data Solutions

GlobalLogic; United States; Hybrid; USD 150,000 - 160,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Job summary

GlobalLogic is seeking a senior Data and AI Architect to lead the design and implementation of scalable, secure data and AI solutions on Google Cloud Platform. You will drive the AI strategy, build robust ML pipelines and MLOps, and mentor teams across GCP and AI domains.

The role requires deep expertise in LLMs, generative AI, vector databases, and RAG architectures, with a focus on enterprise deployments and cost-efficient, compliant solutions.

Qualifications

• 1215 years in architecting data and AI on GCP.
• Proven ability to integrate Claude code within complex architectures.
• Hands-on with OpenAI models deployment and fine-tuning.
• Experience with LangChain, AutoGen, LlamaIndex, and RAG architectures.

Responsibilities

• Lead design and implementation of scalable, secure data/AI solutions on GCP.
• Drive AI/ML strategy including LLMs and generative AI within GCP environments.
• Architect ML pipelines and MLOps to support lifecycle of models.
• Guide teams on GCP best practices, data governance, and AI solution development.
• Oversee integration of Claude code, OpenAI models, LangChain, AutoGen, and LlamaIndex.
• Define standards for vector databases and RAG architectures to boost performance.
• Mentor architects and engineers in GCP, data engineering and AI/ML.
• Ensure security, compliance, and cost-effectiveness of GCP-based infrastructures.
• Collaborate with product management to translate requirements into actionable designs.
• Evaluate emerging GCP/AI services to stay competitive.
• Establish monitoring, logging, and alerting for data/AI systems on GCP.
• Drive continuous improvement for data platforms and AI models.

Skills

GCP architecture

Claude code

Google Antigravity

OpenAI models

Cursor

LangChain

AutoGen

LlamaIndex

Semantic Kernel

MCP principles

RAG architectures

Vector databases

Job description

GlobalLogic is seeking a senior Data and AI Architect to lead the design and implementation of scalable, secure data and AI solutions on Google Cloud Platform. You will drive the AI strategy, build robust ML pipelines and MLOps, and mentor teams across GCP and AI domains.

The role requires deep expertise in LLMs, generative AI, vector databases, and RAG architectures, with a focus on enterprise deployments and cost-efficient, compliant solutions.