149+ Applicants
Posted: 1 month ago
10-15 years
Ahmedabad, Gujarat
work from office
Posted: 1 month ago
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Applicants: 149+
Job Description
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Job Description
Responsibilities
Key Responsibilities
Required Qualifications & Experience
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 Labss strategic capabilities.
- Troubleshoot complex AI/ML system bottlenecks and optimize model inference performance on GCP to enhance operational efficiency.
- 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.
- 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).
- 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.
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.
- 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.
- 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
Artificial IntelligencePythonDeep LearningMachine LearningAi/mlPrompt EngineeringLarge Language ModelsAiGoogle CloudMlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Adani Enterprises Limited (AEL) is the incubator of the Adani Group.
Through sustained incubation, we continue to build game-changing businesses with unmatched market potential.
We are focused on helping India become self-reliant, and are developing world-class infrastructure and manufacturing capabilities to help spur India’s economic transformation. We invest in businesses that are aligned with our nation building philosophy; and are market leaders in the sectors that we operate in.
AEL is focused on new and emerging infrastructure businesses including: Airports, Data Centers, Roads, Metals and Mining, Water, and Integrated Green Hydrogen.
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Important dates & deadlines?
Application Deadline
20 Sep 26, 03:51 PM IST
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