Capgemini Hiring 2026 – AI-Focused Campus & Lateral Recruitment Drive for Freshers

Capgemini Technology Solutions is executing its most ambitious hiring roadmap in recent years, announcing plans to onboard 40,000–45,000 employees across 2026 through its flagship Exceller Program and lateral recruitment initiatives. With a strategic focus on building an AI-ready workforce, the company is leveraging partnerships with 50+ premier colleges to hire fresh talent while simultaneously acquiring experienced professionals to strengthen its India delivery center—currently home to 175,000 employees. This dual-track hiring strategy reflects Capgemini's commitment to capitalizing on increased global client demand for cost-effective, innovation-driven technology delivery from India, underpinned by emerging capabilities in AI, data analytics, and digital transformation. The recruitment drive targets 2024-2027 graduation cohorts with competitive salary packages ranging from ₹4.25–7.5 LPA and roles spanning software engineering, technical support, and AI-driven functions.

Overview

Hiring Structure & Roles

Campus-Led Fresher Hiring (Exceller Program)

Capgemini's campus recruitment strategy prioritizes early talent acquisition from premier engineering and science institutions. The Exceller Program targets final-year and recent graduates across three salary tiers:

Analyst (Entry-level): ₹4.25 LPA (₹4 LPA base + ₹25,000 joining bonus)

• Roles: Junior Software Engineer, Programmer Analyst Trainee (PAT), Service Support Associate

• Ideal for: 2025-2026 batch freshers from any engineering or BCA background

• Focus: Foundational coding, process understanding, customer support.​

Senior Analyst: ₹5.5 LPA

• Roles: Advanced Analyst, Technical Lead Track (entry), Business Analyst

• Ideal for: Stronger academic performers with project portfolio

• Focus: Advanced problem-solving, system design, tech stack specialization.​

GenC / GenC Next (Premium tier): ₹4.8–7.5 LPA

• Roles: Software Engineer, Technology Analyst, Data Analyst (AI-track)

• Ideal for: Top-tier performers, AI/ML interest, specialized domain expertise

• Focus: Next-gen tech stacks (Cloud, AI/ML, DevOps, Data Engineering).​

Lateral Hiring (Experienced Professionals)

Capgemini targets experienced talent with 3-10 years tenure:

• Roles: Senior Developer, Architect, Technical Lead, Project Manager, Delivery Manager

• Salary: ₹8–15 LPA+ (based on experience & specialization)

• Requirement: Demonstrated expertise in enterprise technologies, cloud platforms, AI/ML.​

AI-Forward Training Initiative

All new recruits (fresher + lateral) undergo mandatory AI foundation training covering:

• GenAI concepts, Prompt Engineering, Large Language Models (LLMs)

• Cloud-based AI tools (AWS SageMaker, Azure OpenAI, Google Vertex AI)

• Business applications of AI (automation, analytics, customer service AI).​

Selection Process

Five-Stage Assessment Framework

Round 1: Online Assessment (Conducted virtually; typically Sept 9–20)

• Communication Test (30 minutes): Email writing, professional communication, grammar assessment

• Technical MCQ Section (40–50 minutes): Data Structures, Algorithms, DBMS, Operating Systems, Networking (40 questions)

• Game-Based Cognitive Test (20–30 minutes): 4 interactive games assessing problem-solving, pattern recognition, memory, logical reasoning

• Behavioral/PowerSkills Assessment (20–25 minutes): Soft skill evaluation on collaboration, adaptability, decision-making

• Qualifying Threshold: 50%+ across all sections; candidates scoring 60%+ get priority call.​

Round 2: Coding Assessment (45 minutes)

• 2 Coding Problems: Medium-level Data Structures/Algorithms (DSA) problems

• Language Choice: Java, Python, C++ (any language allowed)

• Evaluation: Functionality, optimization, code quality

• Shortlisting: Top 20-30% of Round 1 qualifiers advance; 1:3 to 1:5 ratio typically.​

Round 3: Technical Interview (20–35 minutes)

• Core Assessments: Coding explanation, DSA problem-solving, DBMS/OS/System Design concepts

• Project Discussion: Portfolio walkthrough, problem-solving approach, technical depth

• AI Awareness (new in 2026): Basic AI/ML concepts, how AI applies to their domain

• Interviewer Assessment: Technical competency, communication clarity, learning attitude

• Shortlisting: 50% of coders advance to HR round.​

Round 4: HR Interview (10–20 minutes)

• Focus Areas: Motivation for tech/AI roles, cultural fit, shift flexibility, location acceptance, past achievements, teamwork experience

• Decision Point: Offer confirmation or alternative role fit

• Final Output: Job offer with role assignment and location.​

Assessment Timeline

• Virtual Assessment Window: September 9–20, 2025 (already concluded for 2026 batch)

• Physical On-Campus Assessment: September 12–25, 2025 (ongoing at partner campuses)

• Interview & Results: October 2025 – January 2026 (rolling basis)

• Joining Date: February – April 2026 (batch-wise onboarding).​

Eligibility Criteria

Educational Qualifications

Degree Programs:

• Bachelor of Technology/Engineering (B.Tech/B.E) in all branches (including non-traditional streams: Textile, Chemical, Biotechnology, Manufacturing)

• Master of Technology (M.Tech) or Master of Engineering (M.E)

• Bachelor of Computer Applications (BCA)

• Master of Computer Applications (MCA)

• Master of Science (M.Sc) in Computer Science, IT, Mathematics, Physics, Electronics, Statistics

• M.B.A. (any specialization) [optional for select roles].​

Academic Performance

• Minimum Aggregate: 60% or equivalent CGPA consistently maintained across:

• 10th Standard (Matriculation)

• 12th Standard (Intermediate/Senior Secondary)

• Diploma (if applicable)

• Undergraduate degree

• Postgraduate degree (if applicable)

• No Rounding: 59.9% is NOT accepted; only 60% and above qualifies

• CGPA Conversion: University-specific conversion formula applied where CGPA must translate to 60% equivalent.​

Batch Eligibility

• Primary: 2025, 2026 graduation cohorts

• Secondary: 2027 batch (3rd-year students actively studying)

• Tertiary: 2024 batch (if recently graduated, no gap employment)

• Education Gap: Maximum 1 year allowed after graduation.​

Backlogs & Academic Status

• Zero Active/Standing Arrears: No incomplete coursework, failed subjects, or pending exams at time of application

• Completion Status: Must have cleared all coursework or have clarity on completion before joining

• Verification: Background checks will verify academic status with institutions.​

Salary & Compensation

Fresher Salary Structure

*In-hand salary varies by city (Tier-1 metro cities get higher HRA; non-metros lower deductions)

Total Compensation Package

• Base Salary: Monthly fixed component (₹25,000–₹35,000)

• Dearness Allowance (DA): ₹2,000–₹5,000/month (inflation-linked)

• House Rent Allowance (HRA): ₹4,000–₹8,000/month (city-based)

• Special Allowance: ₹1,000–₹3,000/month

• Performance Bonus: Semi-annual bonus (₹5,000–₹15,000) based on appraisal ratings

• Joining Bonus: ₹25,000 one-time (Analyst tier)

• Annual Increment: 10–15% post-first year (contingent on performance).​

Additional Benefits

• Mediclaim Insurance: Comprehensive health coverage (self + family)

• Leave Policy: 20 annual leaves + casual/sick leaves (total 27 days)

• Professional Development: Learning budget (₹20,000–₹50,000/year), certification sponsorship

• Transportation: Free cab facility from designated hub pickup points

• Flexible Work: After 6-month probation, work-from-home flexibility available (role-based)

• Employee Stock Purchase Plan (ESPP): Stock options eligibility after 2 years.​

Work Locations

Capgemini operates 24×7 delivery centers across major metros:

• Bengaluru (Primary): 60%+ fresher allocation; India's largest tech hub

• Hyderabad: Growing delivery center; Tier-1 work assignments

• Pune: Tech cluster; emerging innovation center

• Chennai: Service delivery operations center

• Gurugram/Delhi NCR: Client engagement & commercial hub

• Mumbai: Limited fresher roles; senior-focused hiring

Work Model:

• Training Phase (First 3 months): On-site (mandatory)

• Post-Training: Hybrid model (3 days office, 2 days remote) depending on project

• Night Shifts: Optional but incentivized (extra allowance ₹6,000–₹8,000/month) for 24×7 support roles.​

Strategic Context & WNS Acquisition

AI-Ready Workforce Initiative

Capgemini's hiring strategy is fundamentally aligned with enterprise client demand for AI-driven solutions. The company is:

• Conducting AI capability mapping for all new hires

• Training 100% of freshers in GenAI/LLM fundamentals

• Building AI Center of Excellence across India offices with 2,000+ dedicated professionals.​

College Partnerships (50+ Institutions)

Strategic tie-ups with premier engineering colleges including:

• IITs, NITs, DTU, BITS Pilani, VIT, SRM

• Top-tier private institutions for early talent pipeline

• Campus recruitment through formal TPO channels + direct drives.​

WNS Acquisition & BPS Synergy

Pending Development (Expected regulatory approval Q4 2025):

• Target Acquisition: WNS Holdings (Business Process Services leader, $1.3B revenue)

• Synergy Benefit: Combine Capgemini's tech/digital with WNS's process expertise

• AI Integration: Merge Capgemini's AI capabilities with WNS's BPS operations (anticipated $100–140M incremental revenue by 2027)

• India Expansion: Expected 5,000–8,000 additional roles post-integration.​

Global Work Shift to India

• Client Dynamics: Fortune 500 companies redirecting work to India for cost optimization (30–40% savings vs onshore)

• Volume Growth: Capgemini expecting 15–20% YoY work volume increase to India

• Offset Impact: Global headcount reductions balanced by India expansion.​

How to Apply

Application Process (Multi-Channel)

Option 1: Campus Recruitment (College TPO)

• For students of partner colleges: Registration through college placement officer (TPO)

• Timeline: College-specific (typically August–September for 2027 batch)

• Advantage: Direct communication, organized on-campus process.​

Option 2: Off-Campus / Direct Portal

1. Visit 

2. https://careers.capgemini.com

3.  → Select "India" region → Browse "Exceller" roles

4. Create account using email ID and upload resume (1-page, highlighting academics + projects)

5. Submit application for preferred role (Analyst/Senior Analyst/GenC)

6. Complete virtual assessment within 5 days (link sent via email)

7. If shortlisted, receive interview call for physical/video round.​​

Option 3: Referral Channel

• Request referral from existing Capgemini employee

• Employee shares internal job link

• Direct application with referral badge (priority processing).​​

Key Note: Registration requires active Digilocker account (government digital identity verification) or manual document upload capability.​​