Cognizant Ace Team Hiring 2026: Full-Stack AI Engineer

Urgent

Job Description

The Ace Team is Cognizant’s most selective engineering cohort. Unlike traditional roles, Ace Engineers are deployed on live client challenges from week one, using AI-augmented tools to ship code at 2x velocity.

Role Overview

ParticularsDetails
PositionFull-Stack AI Engineer (Ace Program)
Target Batch2026 Graduating Batch (B.E / B.Tech / M.E / M.Tech)
Grades & SalaryAssociate: ₹12 LPA
Senior Associate: ₹18 LPA
LocationsPAN India (Chennai, Bangalore, Hyderabad, Kolkata, Pune, Kochi, etc.)
Application Deadline29 April 2026 (11:59 PM)

Core Responsibilities

Selected candidates will rotate across various domains and technology stacks, focusing on:

  • AI-Native Engineering: Building REST APIs and UI components integrated with LLMs, AI agents, and RAG (Retrieval-Augmented Generation) pipelines.
  • Architecture: Selecting appropriate models, designing data flows, and making cost-accuracy trade-offs.
  • Quality & Governance: Validating AI outputs to prevent hallucinations and implementing AI guardrails.
  • Rapid Delivery: Shipping production-grade features using AI coding assistants (GitHub Copilot, Claude).

Required Skills & Technologies

  • Languages: Python, Java / .NET, JavaScript / TypeScript.
  • Frameworks: React / Angular, REST APIs, SQL.
  • AI/LLM Tools: LangChain, LangGraph, CrewAI, AutoGen, Vector Databases.
  • Cloud: AWS / Azure / GCP, CI/CD, Docker/Containers.
  • Evaluation: AI quality metrics, monitoring, and fallback strategies.

Mandatory Documentation for Registration

  1. Resume: Maximum 2 pages with a high-resolution passport-size photo (light background, ears visible).
  2. Academic Records: All marksheets (School, UG, PG) and college ID card.
  3. Onboarding Docs: PAN Card (name must match exactly), Aadhaar Card, and Voter ID/Passport for citizenship verification.

Why Choose the Ace Team?

  • No “Bench” Time: Direct client-site deployment from the first week.
  • Elite Portfolio: Solve problems in 1-2 years that typically take 5+ years to encounter.
  • Mentorship: Direct learning from senior architects on live transformation programs.
  • Global Network: Access to elite engineers across 40+ countries.

Educare Skill Academy Expert Insights:

“The Ace Team is not looking for ‘average’ coders—they want AI power users. If you have participated in AI hackathons or have a GitHub repository showing an LLM-integrated project (like a custom RAG chatbot or an autonomous agent), highlight that prominently. Note the strict requirement for the PAN Card and Aadhaar during onboarding; ensure your name matches exactly across all government IDs to avoid background verification failure!”

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