Cognizant Off-Campus Drive 2026: Apply now for Cognizant Off Campus Drive 2026! Full Stack AI Engineer roles for 2025/2026 freshers. Eligibility, salary, skills & last date. Crack Cognizant’s hiring process—top IT jobs in India!
🔍 About Cognizant:
Cognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world.
💼 Job Role: Full Stack AI Engineer
Location: Across India
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📝 Job Description:
- Cognizant® Ace Team is Cognizant’s most selective engineering program—a handpicked cohort of highpotential AI builders chosen to work on real client challenges using AInative tools, modern architectures, and outcomedriven methods.
- As an Ace – Full Stack AI Engineer, you will be part of a small, highcaliber team deployed on focused, highimpact engagements across clients and industries.
- From the very start, you will work on production codebases, build AInative capabilities such as retrievalaugmented generation (RAG) pipelines, agentic workflows, and LLMintegrated applications, and present working solutions to client stakeholders.
Responsibilities:
AI-Native Engineering:
- Build UI components, REST APIs, and end-to-end workflows leveraging LLMs, code assistants and AI agents
- Design prompt templates, structured outputs, and tool-calling patterns for production use
- Engineer AI-first workflows: RAG pipelines, agentic systems, and tool orchestration
- Integrate fine-tuned or hosted AI models into enterprise application stacks
Solution design & architecture:
- Rapidly absorb unfamiliar client codebases, team contexts, and problem spaces — within days
- Translate business requirements into AI-native solution designs with clear API and data-flow specifications
- Make informed decisions on model selection, RAG vs agentic approaches, and cost-accuracy trade-offs
- Contribute to architecture discussions; document technical trade-offs and assumptions
Quality & governance:
- Validate AI outputs for correctness, safety, and relevance; flag hallucinations and bias early
- Design and run continuous test automation for AI-enabled features
- Implement monitoring, logging, and AI guardrails to support auditability
- Follow and promote secure-by-design and responsible AI practices
Delivery & client impact:
- Ship working AI-native features and production-grade systems at accelerated pace
- Deliver short-cycle POCs, prototypes, and live client demos
- Produce handover documentation so client teams can sustain and scale independently
Communication & collaboration:
- Communicate technical concepts clearly to both technical and non-technical stakeholders
- Lead demos, technical walkthroughs, and client-facing showcases
- Collaborate across cross-functional teams; mentor peers on engagements
Requirements:
- Students graduating in 2026 with B.E/B. Tech/M.E/M. Tech degrees. Relevant experience in AI-enabled full stack development will be preferred.
- Demonstrated excellence in CS fundamentals and AI/ML projects – through academic work, open-source contributions, hackathons, or personal builds.
- Strong portfolio of AI-enabled or full-stack development projects (academic or personal).
- Genuine curiosity for AI tools, agents, and the future of software engineering.
Skills:
- Languages & Frameworks
- Python, Java / .NET, JavaScript / TypeScript, React / Angular, REST APIs, SQL
- AI & LLM
- LLMs & Embeddings, RAG pipelines, Prompt engineering & structured outputs, LLM orchestration (LangChain / LangGraph / CrewAI / AutoGen), AI coding assistants (GitHub Copilot, Claude)
- Cloud & DevOps
- AWS / Azure / GCP, Git, CI/CD pipelines, Containers & cloud-native services
- AI Evaluation & Ops
- AI quality metrics, Monitoring & guardrails, Cost & latency optimisation, Fallback and degradation strategies
- Vector DB concepts, Streamlit / FastAPI, RAGAS / DeepEval, Kubernetes, Event-driven architectures
Important Details:
- CTC: INR 1,200,000.00 – INR 1,800,000.00 per annum
- Application Deadline: 29 April 2026 11:59 PM
Mandatory documents for registration:
- Registration link will be shared with college placement officers and students must scan and upload the below mentioned documents while registering:
- Resume (maximum of 2 pages) with a high-resolution passport size photograph. Please note that the recent photograph should be clicked in a light background and both the ears of the candidates must be visible.
Mandatory documents for interview:
- All academic documents including the college ID card (if available), school / college, UG and PG marksheets, provisional/ degree certificate.
Mandatory documents for onboarding:
- The final Cognizant onboarding would be subject to satisfactory background verification.
- PAN card – If PAN card is not available, please apply for it. It is a mandatory requirement for onboarding. Please ensure that your last name, father’s name, and other details are accurate. Please note that background verification will fail if the last name is not updated or if the PAN card name does not match the registered name.
- Voter ID card / Passport will be mandatory to verify citizenship.
- Aadhar card is mandatory for onboarding.
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📌 Eligibility Criteria
- Students graduating in 2026 with B.E/B. Tech/M.E/M. Tech degrees. Relevant experience in AI-enabled full stack development will be preferred.
- Demonstrated excellence in CS fundamentals and AI/ML projects – through academic work, open-source contributions, hackathons, or personal builds.
- Strong portfolio of AI-enabled or full-stack development projects (academic or personal).
- Genuine curiosity for AI tools, agents, and the future of software engineering.
✅ How to Apply for Cognizant Off-Campus Drive 2026?
Interested candidates can apply online by clicking the application link below: