Python (GenAI) Engineering Manager

Posted 12 Days Ago
Be an Early Applicant
Ahmedabad, Gujarat, IND
In-Office
Expert/Leader
Utilities
The Role
Lead design, development, and deployment of generative AI agents and scalable GCP-based AI solutions. Manage and mentor AI engineers, integrate models into sovereign cloud and industrial operations, build Python AI pipelines for multi-cloud orchestration and edge computing, establish best practices for model evaluation and prompt engineering, and oversee AI product lifecycles while optimizing inference performance on GCP.
Summary Generated by Built In
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 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.

Skills Required

  • 10-15 years of software engineering and AI/ML experience with a specialized focus on Generative AI
  • Deep, hands-on expertise within the GCP ecosystem
  • Experience with Gemini Enterprise and the Gemini Agent Platform
  • Proven experience building, deploying, and maintaining AI agents using Google ADK, LangGraph, Crew.AI, or equivalent agentic frameworks
  • Proven track record managing and scaling technical AI engineering teams and delivering enterprise ML architectures
  • Hands-on experience with Kubernetes management and multi-cloud orchestration tools (IaaS, PaaS, MLaaS)
  • Experience applying industrial AI (computer vision, ML, deep learning) in manufacturing, energy, or utilities
  • B.Tech or M.Tech in Computer Science, Artificial Intelligence, Software Engineering, or a related quantitative field
  • Advanced certifications in AI/ML (e.g., Google Cloud Professional Machine Learning Engineer)
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The Company
HQ: AHMEDABAD, GUJARAT
20,544 Employees

What We Do

Adani Group is a diversified organisation in India comprising 10 publicly traded companies. It has created a world class transport and utility infrastructure portfolio that has a pan-India presence. Adani Group is headquartered in Ahmedabad, in the state of Gujarat, India. Over the years, Adani Group has positioned itself to be the market leader in its transport logistics and energy utility portfolio businesses focusing on large scale infrastructure development in India with O & M practices benchmarked to global standards. With four IG rated businesses, it is the only Infrastructure Investment Grade issuer in India. Adani owes its success and leadership position to its core philosophy of ‘Nation Building’ driven by ‘Growth with Goodness’ - a guiding principle for sustainable growth. Adani is committed to increase its ESG footprint by realigning its businesses with emphasis on climate protection and increasing community outreach through its CSR programme based on the principles of sustainability, diversity and shared values. Watch Pehle Pankha Ayega | Phir Bijli Aayegi : https://www.youtube.com/watch?v=1orXXuPzNmY

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