Job Role: Full-Stack AI Engineer (Associate and Senior Associate Grade)
Company: Cognizant
Job Location: Chennai, Bangalore, Hyderabad, Kolkata, Pune, Coimbatore, Kochi, Bhubaneswar, Indore, Vizag, Noida, Gurgaon, Mumbai
Job Type: Full-time (Campus Hiring)
Experience: Fresher (2026 Graduates)
Eligible Batch: 2026 Passouts Only
Application Deadline: 29 April 2026, 11:59 PM (6 days left)
Cognizant Ace Team Full-Stack AI Engineer Overview
Cognizant® Ace Team is Cognizant’s most selective engineering program – a handpicked cohort of high-potential AI builders. You will work on real client challenges using AI-native tools, modern architectures, and outcome-driven methods. From week one, you will be on client sites building RAG pipelines, agentic workflows, and LLM-integrated applications. This is not a bench role – you will ship production code and present to client stakeholders.
This is ELITE. 12-18 LPA for freshers is top-tier, but the bar is HIGH. You need a STRONG portfolio of AI-enabled full-stack projects – not just college assignments. If you have built RAG pipelines, used LangChain/CrewAI, or deployed LLM-integrated apps, apply immediately. If you only know basic Python and have never touched an LLM API, you will not pass screening. 2026 batch ONLY. Application closes in 6 days — act fast.
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: 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 an 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
Skills & Technologies Required
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
Good to Have
- Vector DB concepts, Streamlit / FastAPI
- RAGAS / DeepEval, Kubernetes, Event-driven architectures
Eligibility Criteria for Cognizant Ace Team
Mandatory Requirements
- Students graduating in 2026 with B.E/B.Tech/M.E/M.Tech degrees
- 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
Additional Eligibility
- Relevant experience in AI-enabled full-stack development will be preferred
Compensation & Benefits
- Associate Grade: ₹12,00,000 per annum (12 LPA)
- Senior Associate Grade: ₹18,00,000 per annum (18 LPA)
- Client-site deployment from week one — visible impact on live enterprise problems
- Build real AI-native products – RAG systems, agentic workflows, LLM-integrated applications
- Access to Cognizant’s AI toolchain & global network across 40+ countries
- AI-augmented productivity targets – ship at 2x velocity using AI coding assistants
- Mentorship from senior architects on live transformation programmes
- Clear growth pathway into specialist, principal, and architect tracks
Selection Process
- Registration via college placement officers + document upload
- Resume Shortlisting (portfolio of AI/Full-stack projects is critical)
- Technical Assessment (CS fundamentals + AI/LLM knowledge)
- Technical Interview (AI-native engineering, RAG, agentic workflows)
- Leadership / Managerial Interview
- HR Discussion
- Final Selection (grade level – Associate or Senior Associate – determined by Cognizant)
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How to Apply for Cognizant Ace Team Campus Hiring 2026
Official Apply Link:
Apply Now – Cognizant Ace Team (via Superset)
Important: Registration link will be shared with college placement officers. Students must register through their placement cell and upload the required documents.
Mandatory Documents for Registration: Resume (max 2 pages with high-res passport-size photo — both ears visible, light background)
Tip: Your portfolio is EVERYTHING. Include GitHub links showing RAG pipelines, LangChain/CrewAI projects, or LLM-integrated apps. Highlight any hackathon wins, open-source contributions, or personal AI builds. Be ready to explain your prompt engineering strategies, agent architectures, and cost-accuracy trade-offs. This is Cognizant’s most selective program — bring your best.
Mandatory Documents for Interview & Onboarding
For Interview: All academic documents, including college ID card, school/college marksheets, UG/PG marksheets, provisional/degree certificate.
For Onboarding (subject to background verification):
- PAN card (apply now if not available – mandatory)
- Voter ID card / Passport (for citizenship verification)
- Aadhar card
Note: PAN card name must match the registered name exactly. Background verification will fail if the last name is not updated or the names don’t match.
FAQs for Cognizant Ace Team
Who can apply?
ONLY 2026 graduating batch (B.E/B.Tech/M.E/M.Tech). No other batches.
What is the CTC?
Associate: 12 LPA | Senior Associate: 18 LPA
What is the most important requirement?
Strong portfolio of AI-enabled full-stack projects — RAG pipelines, agentic workflows, LLM-integrated applications. Theory is not enough.
Is this a bench role?
NO. Client-site deployment from week one. You work on live enterprise problems immediately.
What technologies should I know?
Python/Java/JS, React/Angular, LLMs, RAG, LangChain/LangGraph/CrewAI/AutoGen, cloud (AWS/Azure/GCP), CI/CD.
When is the deadline?
29 April 2026, 11:59 PM — only 6 days left.
How do I register?
Through your college placement officer. Registration link is shared with them, not directly available to students.
Disclaimer (Official Cognizant)
Cognizant does not entertain payments of any kind from candidates or vendors for employment. Requests for such payments should be reported to GenCHRComplianceIND@cognizant.com. Cognizant will only communicate through authentic Cognizant email addresses and will never extend job offers without in-person, video, or telephone interviews through verified encrypted channels.
About Cognizant Ace Team
Cognizant® Ace Team is Cognizant’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. The program enables rapid accumulation of experience that traditionally takes 5+ years to build.
Last Updated April 2026 | Application closes 29 April 2026, 11:59 PM
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