Responsibilities

Key Responsibilities

- Lead the end-to-end design, development, and deployment of Generative AI agents using Google ADK, LangGraph, and Crew.AI frameworks.

- Architect scalable AI solutions within the Google Cloud Platform (GCP) ecosystem, leveraging Gemini Enterprise and the Gemini Agent Platform.

- Manage and mentor a high-performing team of AI engineers to ensure the delivery of cutting-edge industrial AI solutions.

- Collaborate with cross-functional teams to integrate generative AI models into sovereign cloud environments and industrial operations (such as energy, utilities, and manufacturing).

- Drive the creation of robust Python-based AI pipelines for multi-cloud orchestration and real-time edge computing.

- Establish best practices for AI model evaluation, prompt engineering, and agentic framework deployments across the organization.

- Oversee the lifecycle of AI products from conceptualization to production, ensuring alignment with Adani AI Labs's strategic capabilities.

- Troubleshoot complex AI/ML system bottlenecks and optimize model inference performance on GCP to enhance operational efficiency.

Domain Expertise

- Deep understanding of Generative AI, Large Language Models (LLMs), and complex agentic workflows.

- Familiarity with industrial AI applications, including computer vision, machine learning, and deep learning for manufacturing and energy sectors.

- Strong knowledge of secure, sovereign cloud platforms and AI infrastructure tailored for compliance and data sovereignty.

Digital & Operational Tools

- Advanced proficiency in Gemini Enterprise, Gemini Agent Platform, and Google ADK.





- Hands-on experience with Google Cloud Platform (GCP), Kubernetes management, and multi-cloud orchestration tools (IaaS, PaaS, MLaaS).

Leadership Capabilities

- Proven ability to manage, inspire, and scale a technical team of engineers to deliver high-quality digital solutions.

- Exceptional communication skills to articulate complex AI concepts to both technical teams and business stakeholders.

- Demonstrated capability in strategic planning, budgeting, and delivering major technology projects on time.

- Mentorship mindset focused on continuous upskilling and fostering an innovative engineering culture.

Qualifications

Required Qualifications & Experience

- Minimum of 10-15 years of robust software engineering and AI/ML experience, with a specialized focus on Generative AI.

- Deep, hands-on expertise within the GCP ecosystem, Gemini Enterprise, and the Gemini Agent Platform.

- Proven experience in building, deploying, and maintaining AI agents using Google ADK, LangGraph, Crew.AI, or equivalent agentic frameworks.

Educational Background

- B.Tech or M.Tech in Computer Science, Artificial Intelligence, Software Engineering, or a strictly related quantitative field.

- Advanced certifications in AI/ML, such as Google Cloud Qualified Machine Learning Engineer, are highly preferred.

Years & Type Of Experience

- 10-15 years of overall technical and engineering experience, with a significant portion dedicated to leading AI initiatives.

- Proven track record of managing technical teams and deploying scalable machine learning architectures in complex enterprise environments.

📌 Python (GenAI) Engineering Manager (Ahmedabad)
🏢 Adani Enterprises
📍 Ahmedabad