GCP Gemini Enterprise Architect

Programmers.io; California (MO); On-site; USD 180,000 - 280,000; Full time

Job summary

Programmers.io seeks an experienced Gemini AI & GCP Architect to lead the design and implementation of enterprise-scale Generative AI solutions on Google Cloud. You will define the architecture strategy for Gemini-based AI platforms, leverage Vertex AI, and design secure, scalable systems.

You will drive MLOps, governance, and responsible AI practices, collaborating with stakeholders to identify high-value use cases and roadmaps, while guiding AI/ML teams and conducting architecture reviews.

Qualifications

• Strong expertise in Google Cloud Platform (GCP) Architecture.
• Hands-on experience with Google Gemini Models and Vertex AI.
• Expertise in Generative AI, LLMs, NLP, and Multimodal AI.
• Knowledge of Agentic AI, AI Agents, and ADK.
• Strong proficiency in Python, API development, and cloud-native applications.
• Experience with Vector Databases (Vertex AI Vector Search, Pinecone, ChromaDB).
• Experience with Cloud Run, Kubernetes (GKE), BigQuery, Pub/Sub, Cloud Functions, GCS.
• Understanding of AI governance, security, compliance, and Responsible AI.

Responsibilities

• Define and lead the architecture strategy for Gemini-based AI solutions on GCP.
• Design scalable, secure, and cost-optimized Generative AI platforms leveraging Vertex AI and Gemini models.
• Architect RAG frameworks integrating enterprise data sources, vector databases, and knowledge repositories.
• Design and implement intelligent AI agents, copilots, virtual assistants, and automation solutions.
• Establish AI governance, security, compliance, and Responsible AI best practices.
• Collaborate with business stakeholders to identify high-value AI use cases and establish implementation roadmaps.
• Lead cloud-native solution architecture using GCP services and microservices frameworks.
• Provide technical leadership for AI/ML development teams and conduct architecture reviews.
• Drive MLOps and operational excellence for AI model deployment, monitoring, and optimization.
• Evaluate emerging AI technologies and recommend innovative solutions aligned with business goals.
• Ensure AI solutions meet enterprise scalability, reliability, and performance requirements.

Skills

GCP Architecture

Gemini Models

Vertex AI

Generative AI

LLMs

NLP

AI Agents

Python

API development

Cloud Run

Kubernetes

BigQuery

Pub/Sub

Vector databases

MLOps

CI/CD

Governance & security

Tools

Vertex AI

GKE / Kubernetes

BigQuery

Pub/Sub

Cloud Run

GCS

ChromaDB

Pinecone

Language frameworks (LangChain etc)

Job description

We are seeking an experienced Gemini AI & Google Cloud Platform (GCP) Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud. The ideal candidate should have deep expertise in Gemini models, Vertex AI, AI Agents, GenAI architecture patterns, and cloud-native solution design, with the ability to drive AI transformation initiatives across multiple business functions.

Key

Responsibilities:

• Define and lead the architecture strategy for Gemini-based AI solutions on GCP.
• Design scalable, secure, and cost-optimized Generative AI platforms leveraging Vertex AI and Gemini models.
• Architect RAG frameworks integrating enterprise data sources, vector databases, and knowledge repositories.
• Design and implement intelligent AI agents, copilots, virtual assistants, and automation solutions.
• Establish AI governance, security, compliance, and Responsible AI best practices.
• Collaborate with business stakeholders to identify high-value AI use cases and establish implementation roadmaps.
• Lead cloud-native solution architecture using GCP services and microservices frameworks.
• Provide technical leadership for AI/ML development teams and conduct architecture reviews.
• Drive MLOps and operational excellence for AI model deployment, monitoring, and optimization.
• Evaluate emerging AI technologies and recommend innovative solutions aligned with business goals.
• Ensure AI solutions meet enterprise scalability, reliability, and performance requirements.

Required Skills:

• Strong expertise in Google Cloud Platform (GCP) Architecture
• Hands-on experience with Google Gemini Models and Vertex AI.
• Expertise in Generative AI, LLMs, NLP, and Multimodal AI
• Knowledge of Agentic AI, AI Agents, and Agent Development Kit (ADK)
• Strong proficiency in Python, API development, and cloud-native applications
• Experience with Vector Databases (Vertex AI Vector Search, Pinecone, ChromaDB, etc.)
• Expertise in Cloud Run, Kubernetes (GKE), BigQuery, Pub/Sub, Cloud Functions, GCS
• Understanding of AI governance, security, compliance, and Responsible AI
• Experience with MLOps, CI/CD, model monitoring, and AI lifecycle management
• Enterprise integration experience with CRM, ERP, and business applications

Preferred

Qualifications:

• Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks
• Multi-cloud AI architecture exposure (Azure OpenAI, AWS Bedrock)
• GCP Professional Cloud Architect Certification · Generative AI Leader or Vertex AI related certifications · Experience in AI Center of Excellence (CoE) initiative