Cognizant Ace Team Off Campus Drive 2026 is now open for B.E / B.Tech students graduating in 2026! Cognizant is inviting applications for the role of Full-Stack AI Engineer (Associate and Senior Associate grade) through its most prestigious campus engineering program — the Cognizant Ace Team. Offering a salary of Rs. 12 LPA (Associate) to Rs. 18 LPA (Senior Associate), this is a pan-India hiring drive spanning 13 cities including Bangalore, Chennai, Hyderabad, Mumbai, and Pune. If you are passionate about AI, full-stack engineering, and solving real client problems at speed, the Cognizant Ace Team Off Campus Drive 2026 is your fast track to a high-impact career.
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| Company | Cognizant |
| Role | Full-Stack AI Engineer (Associate & Senior Associate) |
| Program | Cognizant Ace Team Campus Hiring 2026 |
| Location | Chennai, Bangalore, Hyderabad, Kolkata, Pune, Coimbatore, Kochi, Bhubaneswar, Indore, Vizag, Noida, Gurgaon, Mumbai |
| Eligibility | B.E / B.Tech in CS, IT, ECE or relevant engineering branch |
| Batch | 2026 Graduating Batch |
| Salary | Rs. 12 LPA (Associate) – Rs. 18 LPA (Senior Associate) |
| Experience | Freshers (0 Years) |
| Employment Type | Full Time |
| Apply Mode | Online |
| Last Date to Apply | 29 April 2026, 11:59 PM |
Job Summary
Cognizant Ace Team Off Campus Drive 2026 – Full Job Details
About Cognizant
Cognizant is one of the world’s leading professional services companies, helping clients transform their business, operating, and technology models for the digital era. Headquartered in Teaneck, New Jersey, USA, Cognizant employs over 300,000 professionals globally with a massive delivery presence across India including major centers in Chennai, Bangalore, Hyderabad, Pune, Kolkata, and Mumbai. Consistently ranked among the Fortune 500, Cognizant delivers digital, technology, consulting, and operations services across industries including financial services, healthcare, manufacturing, and communications. For freshers, Cognizant is one of the most sought-after employers in India, known for structured onboarding, learning investments, and strong career growth pathways. You can explore more Cognizant fresher jobs on Freshershunt.
What Is the Cognizant Ace Team?
The Cognizant Ace Team is the company’s most selective engineering program — a handpicked cohort of high-potential AI builders chosen to work on real client challenges using AI-native tools, modern architectures, and outcome-driven methods. As an Ace – Full Stack AI Engineer, you will be part of a small, high-caliber team engaged on focused, high-impact engagements across clients and industries. Through structured rotations across domains, technology stacks, and problem types, the program enables you to rapidly build both breadth and depth of experience. What traditionally takes 5+ years to accumulate, the Ace Team program delivers in a fraction of the time. From day one, you will work on production codebases, build AI-driven automation, contribute to RAG pipelines and agentic workflows, and present working solutions directly to client stakeholders.
Role Overview – Full-Stack AI Engineer
As a Full-Stack AI Engineer in the Cognizant Ace Team Off Campus Drive 2026, you will design, develop, and deploy end-to-end AI-enabled applications across the complete technology stack. You will work at the intersection of frontend, backend, and AI/ML — building intelligent systems that solve complex, real-world business problems for global enterprise clients. This role offers early ownership, rapid skill development, and deep exposure to cutting-edge AI platforms like LangChain, LlamaIndex, AutoGen, and cloud-native services on AWS, Azure, and GCP. Learn more about AI jobs for freshers in India.
Key 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 including RAG pipelines, agentic systems, and tool orchestration from scratch.
- Solution Design & Architecture: Make informed decisions on model selection, RAG vs. agentic approaches, and cost-accuracy trade-offs. Contribute to architecture discussions, document technical design trade-offs and assumptions, and validate AI outputs for correctness, safety, and relevance — flagging hallucinations and bias early.
- Quality & Governance: Design and run continuous test automation for AI-enabled features. Implement monitoring, logging, and AI guardrails to support scalability. Follow and promote secure-by-design and responsible AI practices across all client engagements.
- Delivery & Client Impact: Deliver short-cycle POCs, prototypes, and live client demos at accelerated pace. Produce handover documentation so client teams can sustain and scale solutions independently. Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Communication & Collaboration: Lead demos, technical walkthroughs, and client-facing showcases. Collaborate across cross-functional teams and mentor peers on ongoing engagements. Rapidly absorb unfamiliar client codebases and team contexts to contribute from day one.
- AI Model Integration: Integrate fine-tuned or hosted AI models into enterprise application stacks. Work with LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, Crew AI, and AutoGen. Apply AI coding assistants like GitHub Copilot and Claude to accelerate delivery.
- Evaluation & Operations: Implement AI quality metrics, monitoring, and guardrails. Develop cost and latency optimisation strategies. Design fallback and degradation strategies to ensure production-grade reliability for AI-powered features.
Required Skills & Technologies
- 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, LlamaIndex, LangGraph, Crew AI, AutoGen), AI coding assistants (GitHub Copilot, Claude)
- Cloud & DevOps: AWS / Azure / GCP, Git, CI/CD pipelines, Containers & cloud-native services
- Evaluation & Ops: AI quality metrics, Monitoring & guardrails, Cost & latency optimisation, Fallback and degradation strategies
- Good to Have: Vector DB concepts, Streamlit / FastAPI / RAGAS / DeepEval, Kubernetes, Event-driven architectures
Eligibility Criteria for Cognizant Ace Team Off Campus Drive 2026
- Educational Qualification: B.E / B.Tech in Computer Science, Information Technology, Electronics & Communication, or any relevant engineering discipline. Explore more CS engineering fresher jobs.
- Batch Year: Students graduating in 2026 only
- Academic Performance: Consistent academic record across semesters; no specific CGPA minimum mentioned but strong academics are preferred
- Technical Skills: Demonstrated excellence in CS fundamentals and AI/ML projects. Proficiency in at least one programming language (Python, Java, or JavaScript) and working knowledge of AI/LLM concepts
- Portfolio: Open-source contributions, hackathon projects, or personal AI-related / full-stack development builds are highly preferred
- Communication Skills: Strong verbal and written communication; ability to explain technical concepts clearly to non-technical stakeholders
Selection Process
The Cognizant Ace Team Off Campus Drive 2026 follows a structured, multi-round selection process designed to identify top-tier AI builders ready for real client engagement from day one:
- Round 1 – Online Assessment: A technical and aptitude screening covering logical reasoning, quantitative ability, verbal ability, and technical questions on coding, data structures, and AI / full-stack development fundamentals.
- Round 2 – Technical Interview: A detailed interview assessing your knowledge of full-stack development, AI and LLM concepts, system design, and coding ability. Expect questions on your personal projects, prompt engineering approaches, and how you would design a RAG pipeline or an agentic workflow for a client use case.
- Round 3 – HR Interview: A final round evaluating communication skills, cultural fit, problem-solving mindset, and readiness for fast-paced, client-facing delivery in the Ace Team program.
Mandatory Documents for Registration
- Resume (maximum 2 pages) with a high-resolution passport-size photograph in a light background — both ears of the candidate must be clearly visible
- PAN card (mandatory for onboarding; apply for one if not yet available)
- All academic documents including college ID (if available), UG and PG marksheets, and provisional degree certificate
- Aadhar card (mandatory for onboarding and background verification)
Salary & Benefits
Cognizant offers a CTC of Rs. 12 LPA for the Associate grade and Rs. 18 LPA for the Senior Associate grade under the Cognizant Ace Team Off Campus Drive 2026. The grade assigned will be based on performance during the selection process. In addition to competitive compensation, selected candidates receive mentorship from senior architects, access to Cognizant’s AI toolchain and global network, AI-augmented productivity tools and training, and a clearly defined promotion pathway from Associate to Principal to Associate Director and beyond.
How to Apply for Cognizant Ace Team Off Campus Drive 2026
- Click the “Apply Now” button below to open the official application portal.
- You will be redirected to Cognizant’s campus hiring portal on the Superset platform.
- Create a student account or log in if you already have one.
- Fill in your academic details, batch year, and upload your updated resume in PDF format.
- Ensure your passport photo meets the requirements: high-resolution, light background, both ears clearly visible.
- Submit your application before 29 April 2026 at 11:59 PM and keep your confirmation reference number safe.
Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.
Frequently Asked Questions – Cognizant Ace Team Off Campus Drive 2026
Q1. Who is eligible to apply for Cognizant Ace Team Off Campus Drive 2026?
Students graduating in 2026 with a B.E or B.Tech degree in Computer Science, Information Technology, Electronics & Communication, or any relevant engineering discipline are eligible to apply. Candidates should have a strong foundation in CS fundamentals and ideally a portfolio of AI-related or full-stack development projects. No specific minimum CGPA is mentioned, but consistent academic performance is expected.
Q2. What is the salary offered in Cognizant Ace Team Off Campus Drive 2026?
Cognizant is offering a CTC of Rs. 12 LPA for the Associate grade and Rs. 18 LPA for the Senior Associate grade under this program. The grade assigned to each candidate will depend on their performance during the multi-round selection process, including the online assessment and technical interview.
Q3. What is the job location for the Cognizant Ace Team role?
This is a pan-India hiring drive. Selected candidates can be posted to any of Cognizant’s offices across Chennai, Bangalore, Hyderabad, Kolkata, Pune, Coimbatore, Kochi, Bhubaneswar, Indore, Vizag, Noida, Gurgaon, and Mumbai. The exact posting location will be communicated by Cognizant during the onboarding process.
Q4. What is the selection process for Cognizant Ace Team Off Campus Drive 2026?
The selection process consists of three rounds: an online assessment covering aptitude and technical knowledge, a technical interview evaluating full-stack and AI/LLM skills along with coding ability and project discussions, and a final HR interview assessing communication and cultural fit. The process is designed to identify candidates ready for real, client-facing AI engineering work from day one.
Q5. What is the last date to apply for Cognizant Ace Team Off Campus Drive 2026?
The last date to apply for the Cognizant Ace Team Off Campus Drive 2026 is 29 April 2026 at 11:59 PM. The application window closes in just 5 days, so do not delay. Click the Apply Now button above to submit your application through the official Cognizant campus portal on Superset before the deadline.
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