Cognizant Hiring 2026 Freshers | Full-Stack AI Engineer
Cognizant Hiring Freshers | Full-Stack AI Engineer
Introduction
Cognizant is hiring 2026 batch freshers for its highly selective Ace Team program for the role of Full-Stack AI Engineer. This is a premium opportunity for candidates passionate about AI, Full Stack Development, LLMs, RAG pipelines, and enterprise-grade GenAI solutions with an impressive package of up to 18 LPA.
Cognizant Hiring Freshers – Full-Stack AI Engineer
| Company Name | Cognizant |
| Job Role | Full-Stack AI Engineer (Associate / Senior Associate) |
| Qualification | B.E / B.Tech / M.E / M.Tech |
| Eligible Batch | 2026 Batch |
| Salary | ₹12 LPA – ₹18 LPA |
Job Description
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.
As an Ace – Full Stack AI Engineer, you will be part of a small, high-caliber team deployed on focused, high-impact engagements across clients and industries. From the very start, you will work on production codebases, build AI-native capabilities such as retrieval-augmented generation (RAG) pipelines, agentic workflows, and LLM-integrated applications, and present working solutions to client stakeholders.
Through structured rotations across domains, technology stacks, and problem types, the program enables you to rapidly build both depth and breadth of experience—developing, within a short span, a portfolio of solved problems that traditionally takes 5+ years to accumulate.
ATS-Friendly Resume Creation Guide for Freshers Using Overleaf and ChatGPT
Complete Interview Guide for Freshers 2026
Roles & Responsibilities
- 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
- 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
- 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
- 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
- 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
- Python, Java / .NET, JavaScript / TypeScript, React / Angular, REST APIs, SQL
- LLMs & Embeddings
- RAG pipelines
- Prompt engineering & structured outputs
- LLM orchestration (LangChain / LangGraph / CrewAI / AutoGen)
- AI coding assistants (GitHub Copilot, Claude)
- AWS / Azure / GCP
- Git, CI/CD pipelines
- Containers & cloud-native services
- 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
- 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
- Strong portfolio of AI-enabled or full-stack development projects
- Genuine curiosity for AI tools, agents, and the future of software engineering
Why Ace Team?
- Client-site deployment from week one
- Visible impact on live enterprise problems
- Real AI-native products
- Build RAG systems, agentic workflows, and LLM-integrated applications on production data
- Cognizant’s AI toolchain & global network
- Access to cutting-edge platforms and elite engineers across 40+ countries
- AI-augmented productivity targets
- Mentorship from senior architects
- Clear growth pathway into specialist, principal, and architect tracks
Mandatory Documents for Registration
- Resume (maximum of 2 pages)
- High-resolution passport size photograph
- Recent photograph should be clicked in a light background
- Both ears of the candidates must be visible
Mandatory Documents for Interview
- All academic documents
- College ID card (if available)
- School / college marksheets
- UG and PG marksheets
- Provisional / degree certificate
Mandatory Documents for Onboarding
- PAN card (mandatory)
- Voter ID card / Passport for citizenship verification
- Aadhar card (mandatory)
- Final onboarding subject to satisfactory background verification
FAQ
Who can apply for this role?
Students graduating in 2026 with B.E / B.Tech / M.E / M.Tech degrees can apply.
What is the salary offered?
Associate grade offers ₹12 LPA and Senior Associate grade offers ₹18 LPA.
What is the last date to apply?
The application deadline is 29 April 2026, 11:59 PM.
Is AI/ML project experience required?
Yes, relevant experience in AI-enabled full stack development and strong AI/ML projects are preferred.