Posted 24 June, 2026
Python (GenAI) Engineering Manager
Adani Group
Ahmedabad, Gujarat, India
Full Time
Reference: 218_696282_44640
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.
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.
