Job Title: Application Architect – Full Stack, Google Cloud Platform, Gemini & AI Agents

Job Description

We are seeking an experienced Application Architect with strong full-stack development expertise, Google Cloud Platform (Google Cloud Platform) experience, and hands-on knowledge of Generative AI, Gemini, and AI agent development. The ideal candidate will design scalable, secure, cloud-native applications and lead the integration of AI-powered capabilities into enterprise solutions.

Key Responsibilities

• Design and architect scalable, secure, and high-performance full-stack applications using modern technologies.

• Develop backend services and APIs using Java, Node.js, or Python.

• Design and develop responsive front-end applications using React or Angular.

• Architect and deploy cloud-native applications and services on Google Cloud Platform (Google Cloud Platform).

• Integrate Google Gemini and Generative AI models into enterprise applications.

• Design and implement AI agents, tool-calling workflows, and intelligent automation solutions.

• Leverage Google Cloud Platform AI services, such as Vertex AI, for model integration, orchestration, and deployment.

• Define application architecture, technical standards, design patterns, API integrations, and security best practices.

• Collaborate with engineering, product, and business teams to translate requirements into scalable technical solutions.

• Lead technical design reviews, troubleshoot complex issues, and mentor development teams.

Required Skills

• Strong experience in application architecture and full-stack application development.

• Hands-on expertise in at least one backend technology: Java, Node.js, or Python.

• Front-end development experience with React or Angular.

• Strong experience with Google Cloud Platform (Google Cloud Platform) and cloud-native application architecture.

• Practical experience with Google Gemini, Generative AI, and LLM integration.

• Experience building AI agents, agentic workflows, or AI-powered application features.

• Strong understanding of REST APIs, microservices, distributed systems, and application security.

• Experience with CI/CD pipelines, Git, containerization, and cloud deployment practices.

• Excellent problem-solving, communication, and technical leadership skills.

Preferred Qualifications

• Experience with Vertex AI, Gemini API, Agent Development Kit (ADK), or other agent orchestration frameworks.

• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.

• Experience with Docker, Kubernetes, and event-driven architectures.

• Familiarity with enterprise authentication, authorization, observability, and governance for AI applications.