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.
- Valuable 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 protected]

Subject: Application – Faculty – Multi-Cloud & Generative AI | ADYPU Pune

📌 Faculty/Professor - Multi-Cloud & Generative AI Orientation (Pune)
🏢 Pixel Pop Academy
📍 Pune