Faculty/Professor - Multi-Cloud & Generative AI Orientation

Job Description Faculty | Multi-Cloud & Generative AI Orientation

Position: Assistant Professor / Faculty – Multi-Cloud & Generative AI

Program: B.Tech – Computer Science & Engineering
Specialization: Cloud Computing & Generative AI
Institute: ADYPU, Pune
Department: Computer Science & Engineering
Location: Pune, Maharashtra
Employment Type: Full-Time

About the Role

Pixel Pop Academy, is looking for an experienced and industry-oriented Faculty member for Multi-Cloud & Generative AI Orientation for its B.Tech CSE program specializing in Cloud Computing & Generative AI.

The faculty member will be responsible for delivering practical and application-focused learning across multi-cloud environments, cloud-native technologies, AI/ML platforms and Generative AI, while preparing students for real-world technology roles.

Key Responsibilities

• Deliver lectures, tutorials, practical sessions and workshops on Multi-Cloud Computing and Generative AI.
• Develop course content, lab exercises, assignments, projects and assessments.
• Provide hands-on exposure to leading cloud platforms such as:
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• Teach concepts related to:
• Multi-cloud and hybrid-cloud architecture
• Cloud infrastructure and services
• Cloud-native application development
• Containers and Kubernetes
• Serverless computing
• Cloud security and IAM
• Cloud networking and storage
• DevOps and CI/CD
• Cloud monitoring and cost optimization
• AI/ML services available across cloud platforms
• Introduce students to Generative AI concepts, tools and applications.
• Cover relevant GenAI areas such as:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI agents and agentic workflows
• Vector databases and embeddings
• Model APIs and AI platforms
• Generative AI application development
• Responsible and secure AI
• Guide students in developing cloud-based Generative AI applications and projects.
• Use cloud sandboxes, labs, simulations and real-world case studies to deliver experiential learning.
• Mentor students for industry certifications, hackathons, projects and technical competitions.
• Evaluate assignments, projects, examinations and practical work.
• Participate in curriculum development and continuous improvement of the program.
• Contribute to research, publications, conferences and industry-academic collaborations.

Desired Candidate Profile

• Strong expertise in Cloud Computing, Multi-Cloud Architecture and/or Generative AI.
• Hands-on experience with one or more major cloud platforms, preferably AWS, Azure or GCP.
• Good understanding of cloud-native technologies and modern AI/ML ecosystems.
• Practical knowledge of Python, APIs, containers, Kubernetes and DevOps will be preferred.
• Strong understanding of Generative AI concepts and application development.
• Ability to translate complex technical concepts into practical, student-friendly learning.
• Strong communication, classroom management and mentoring skills.
• Industry certifications such as AWS / Azure / GCP / Kubernetes / AI-related certifications will be an advantage.
• Research orientation with publications, projects or industry contributions will be preferred.

Educational Qualification

• Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cloud Computing, Computer Engineering or a relevant discipline.
• Ph.D. in a relevant area is preferred.
• Candidates should meet the applicable UGC / university / institutional eligibility requirements for the faculty position.

Experience

• Prior teaching experience in Cloud Computing, AI/ML, Generative AI or related technology domains will be preferred.
• Candidates with relevant industry experience in cloud architecture, DevOps, AI/ML or GenAI are encouraged to apply.
• Candidates with strong hands-on industry expertise and teaching aptitude may also be considered, subject to institutional requirements.

Key Technology Areas

Multi-Cloud | AWS | Azure | GCP | Kubernetes | DevOps | Cloud-Native | AI/ML | Generative AI | LLMs | RAG | Prompt Engineering | AI Agents | Vector Databases

What We Are Looking For

Cloud Expertise + Generative AI Knowledge + Hands-on Skills + Academic Excellence + Industry Orientation

The ideal candidate should be able to bridge multi-cloud infrastructure and Generative AI, enabling students to move from theoretical understanding to building and deploying real-world cloud-based AI solutions.

How to Apply

Interested candidates can share their updated CV at:

[email removed]
Subject: Application – Faculty – Multi-Cloud & Generative AI | ADYPU Pune