Python (GenAI) Engineering Manager

Adani Enterprises Limited; Ahmedabad District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Adani Enterprises Limited seeks a senior AI Architect to lead end-to-end design, development, and deployment of generative AI agents within a sovereign cloud ecosystem. You will mentor engineers, drive multi-cloud pipelines, and ensure production-grade AI solutions across energy, utilities, and manufacturing sectors.

The role requires deep expertise in GCP, Gemini Enterprise, and agentic frameworks, with a proven track record of delivering complex AI projects on time and within budget.

Qualifications

• 10-15 years of robust software engineering and AI/ML experience, with a focus on Generative AI.
• Hands-on experience with GCP, Gemini Enterprise, and Gemini Agent Platform.

Responsibilities

• Lead end-to-end design, development, and deployment of Generative AI agents using Google ADK, LangGraph, and Crew.AI frameworks.
• Architect scalable AI solutions within GCP, leveraging Gemini Enterprise and Gemini Agent Platform.
• Mentor a high-performing team of AI engineers to deliver cutting-edge industrial AI solutions.
• Collaborate with cross-functional teams to integrate generative AI models into sovereign cloud environments and industrial operations (energy, utilities, manufacturing).
• Drive 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 AI product lifecycle from concept to production, aligning with Adani AI Labss strategic capabilities.
• Troubleshoot AI/ML bottlenecks and optimize model inference on GCP to boost efficiency.

Skills

Generative AI

LLMs

Industrial AI applications

Secure sovereign cloud platforms

AI infrastructure

Effective communication

Strategic planning

Education

B.Tech or M.Tech in CS/AI/Software Engineering

Advanced certifications in AI/ML (e.g., Google Cloud Professional ML Engineer)

Tools

Gemini Enterprise

Gemini Agent Platform

Google ADK

GCP

Kubernetes management

Job description

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 Professional 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.