Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta > PAN India

Level

A & SA Level (Exp range 3 - 6 Years) - Compensation Grid: (4 LPA to 19 LPA Max)

Notice Period: Immediate Joiners/ serving notice

Key Responsibilities

• Prototype Development:

- Rapidly develop functional, front-end, and back-end prototypes (using tools like Google Gemini, GitHub Copilot, Claude, etc., and direct coding) that simulate real-world Utilities applications of Agentic AI.

- Design and develop AI-powered solutions using Google Vertex AI, Google Agent Builder, Gemini models, and other Google Agentic AI capabilities.

- Translate initial HTML/JS mockups and conceptual designs into scalable, cloud-hosted applications.

- Build interactive, data-driven user interfaces and AI agent workflows that demonstrate business value for Utilities clients.

• Cloud Implementation:

- Deploy, manage, and scale prototypes on Google Cloud Platform (GCP).

- Work with GCP services such as Vertex AI, Cloud Run, Cloud Functions, BigQuery, Firestore, Cloud Storage, API Gateway, Cloud SQL, and Pub/Sub to create robust demo environments.

- Implement cloud-native architectures that enable rapid development, scalability, and secure integration with enterprise systems.

- Optimize application performance, reliability, and cost efficiency within the GCP ecosystem.

• Consulting & Analysis:

- Support the Utilities Subject Matter Experts (SMEs) in shaping the technical architecture and feasibility of AI-driven solutions.

- Gather requirements, define user stories, and present prototypes to client stakeholders.

- Collaborate with business and technical teams to identify opportunities for leveraging Google Agentic AI capabilities to solve utility industry challenges.

- Contribute to client deliverables,



focusing on the technical implications and roadmap for prototype maturation.

• Technology & Tools:

- Stay current with advancements in Google Vertex AI, Gemini Models, Google Agent Builder, Agentic AI frameworks, Large Language Models (LLMs), and GCP developer tools.

- Utilize AI-assisted development tools to accelerate prototype delivery and improve developer productivity.

- Optimize prototypes for speed, user experience, visual fidelity, and AI agent effectiveness.

- Evaluate emerging technologies and recommend cutting-edge approaches for AI-enabled transformation within Utilities.

Required Qualifications

• Education:

- Bachelor's degree in Computer Science, Engineering, or a related technical field.

• Experience:

- 3–5 years of experience in software development, cloud engineering, AI application development, or a highly technical consulting role.

• Technical Skills:

- Proficiency in modern web development (e.g., Python, JavaScript/TypeScript, React/Vue).

- Proven experience deploying and managing applications on Google Cloud Platform (GCP).

- Hands-on experience with Google Vertex AI, Gemini, and related Google AI services.

- Experience building Agentic AI solutions, AI agents, multi-agent workflows, or AI-powered business applications.

- Experience utilizing AI coding/vibe coding tools (e.g., Google Gemini, GitHub Copilot, Claude) to accelerate development.

- Familiarity with creating interactive, data-driven interfaces.

- Understanding of API integrations, cloud-native architectures, and microservices-based application development.

• Domain Knowledge:

- Foundational understanding of the Utilities (Power, Water, Gas) sector and key operational/business challenges.

Please prioritize and let me know if you have any challenges.

📌 AI - Google Vertex -GCP (India)
🏢 Cognizant
📍 India