Accenture – Cloud Practitioner / Generative AI Practitioner (Pan India)

Source: Superset job profile / aggregator references.

This page summarizes the Cloud Practitioner / Generative AI Practitioner openings that were published for Accenture (Pan India). It contains role overview, responsibilities, required skills, how to apply, salary expectations (estimate), resume tips, interview preparation, selection process, FAQs and final thoughts.

About Accenture

Accenture is a global professional services company with capabilities in strategy, consulting, digital, technology and operations. It serves thousands of clients worldwide and works across industries to build cloud and AI solutions. :contentReference[oaicite:0]{index=0}

Job Overview

Category	Details
Role(s)	Cloud Practitioner; Generative AI Practitioner; Cloud Developer (multiple related positions)
Company	Accenture
Location	Pan India (locations vary)
Experience	Freshers / Early-career candidates
Education	B.E./B.Tech or equivalent (as per role requirements)
Job Type	Full-time
Posted	Nov 30, 2025 (reference date from listing/aggregator)

These role listings were surfaced through Superset/aggregator references pointing to the Superset jobprofile. :contentReference[oaicite:1]{index=1}

Core Responsibilities

• Participate in cloud solution development, implementation, and support.
• Work on generative AI/ML projects — model prototyping, evaluation, and deployment support (role dependent).
• Collaborate with cross-functional teams to gather requirements and deliver scalable solutions.
• Follow best practices in code quality, CI/CD, and cloud security.
• Contribute to documentation, troubleshooting, and continuous learning initiatives.

Skills & Qualifications

• B.E./B.Tech (or equivalent) — graduating batches mentioned in certain listings (e.g., 2025 in aggregated listings).
• Basic cloud knowledge (AWS/GCP/Azure) — for the Cloud Practitioner role an AWS Cloud Practitioner certificate was listed as mandatory in some descriptions. :contentReference[oaicite:2]{index=2}
• For Generative AI roles: familiarity with ML concepts, model fine-tuning, prompt engineering, or related dev workflows.
• Programming fundamentals (Python, Java, or similar) and familiarity with version control (Git).
• Good communication skills and ability to work in teams.

Company Culture & Work Environment

Accenture typically emphasizes continuous learning, client delivery focus, and collaborative project teams. As a large multinational, work patterns and location requirements vary by project and team.

Salary Expectations (Estimate)

Exact salary varies by role and location. Aggregator listings for similar early-career roles indicate typical starting annual packages in the range of ₹4–5 LPA (expected) for some early-career technical roles — treat this as a broad market estimate, not a promise. Confirm compensation during the interview/offer stage. :contentReference[oaicite:3]{index=3}

How to Apply (Step-by-Step)

1. Open the job profile on the Superset application link (student sign-up may be required if the posting is gated to colleges). Use the jobprofile URL: Superset Job Profile (apply / signup). :contentReference[oaicite:4]{index=4}
2. Register or sign in (Superset student portal) and complete your student profile / resume fields.
3. Attach resume, any required certificates (e.g., AWS Cloud Practitioner if requested), and supporting project links or GitHub.
4. Submit application and monitor emails/portal for screening invites and assessment details.

How to Prepare Your Resume

• Keep it to 1 page (or 2 if you have substantial, relevant project work).
• Sections: Contact, Education, Skills, Projects, Internships, Certifications, Achievements.
• Highlight relevant cloud or AI certifications (e.g., AWS Cloud Practitioner), cloud projects, GitHub repos or demo links.
• Quantify any impact (e.g., “reduced pipeline run time by X%” or “deployed model with Y% accuracy”).
• Use ATS-friendly keywords like: “AWS”, “Cloud”, “Generative AI”, “Python”, “CI/CD”, “Docker”, “Kubernetes”.

Interview Preparation — What to Expect

Hiring through campus portals often includes screening assessments and technical interviews focused on fundamentals. Expect steps such as:

• Online assessments (aptitude / coding / domain-specific multiple choice).
• Technical interview rounds: basics of programming, cloud fundamentals, system design for simple scenarios, and domain-specific questions for AI roles.
• Behavioral / HR round to evaluate fit and communication.

Technical Topics to Review

• Programming basics (data structures & algorithms) — for developer/engineer tracks.
• Cloud basics — core AWS/GCP/Azure services, authentication, and common patterns.
• Generative AI fundamentals — model types, fine-tuning concepts, prompt strategies (if applying for GenAI role).
• DevOps basics: containers, CI/CD flow, and deployment concepts.

Selection Process (Overview)

Stage	Description
Application	Submit through Superset / college portal (profile/resume/certificates).
Screening	Recruiter or hiring team screens credentials (certificates may be mandatory for some roles).
Assessment	Online test / coding challenge or domain-specific assessment.
Interviews	Technical rounds and HR/behavioral discussion.
Offer	Formal offer with role, location, compensation and joining details.

FAQ

Is a certificate mandatory?

Some aggregated postings reference mandatory certification (e.g., AWS Cloud Practitioner) for specific positions — verify on the job posting and superset profile; if a certificate is called out as mandatory, not having it may disqualify you. :contentReference[oaicite:5]{index=5}

Do I need to be on-campus or affiliated with a college to apply?

Superset is a campus placement platform; some listings are accessible only to students whose colleges are onboarded. You may need to sign up as a student and be verified by your institute to access certain job posts. :contentReference[oaicite:6]{index=6}

What if the Superset page shows "Loading" or a gated view?

The Superset portal uses a client-side app — if you see a loading/gated screen, try signing up/logging in with your student account, or contact your college placement office for access details. :contentReference[oaicite:7]{index=7}

Final Thoughts

These Accenture positions are good opportunities for fresh graduates interested in cloud and generative AI work. Prepare by strengthening cloud fundamentals, obtaining relevant entry-level certifications if required, building a concise resume, and practicing coding and system-thinking questions. Apply through the Superset job profile and coordinate with your campus placement office if needed. :contentReference[oaicite:8]{index=8}

Apply Here

Apply via Superset – Accenture Job Profile

Disclaimer

This summary was created using publicly indexed references and the Superset student portal entry for the given job profile. Always verify exact role details, certification requirements, and compensation on the official application portal or recruiter communications. :contentReference[oaicite:9]{index=9}