Cognizant is hiring experienced professionals across multiple technology, automation, consulting and transformation roles. According to the hiring information provided, the openings are valid until September 3, 2026, with opportunities across Pan India, Bengaluru and Hyderabad. The roles cover modern areas such as AI Agents, TypeScript, Node.js, Playwright/Puppeteer, CRM, Canvas Apps, Blue Prism, AI/ML systems, MLOps, Data Analytics, Project Management and Payments/SWIFT/ISO 20022.
🏢 About Cognizant
Cognizant is a global technology and professional-services company helping organizations modernize technology, transform business processes and use data and AI to improve business outcomes. Its India operations span major technology hubs including Bengaluru, Chennai, Hyderabad, Pune, Mumbai and Kolkata. Cognizant’s careers site highlights opportunities across digital engineering, cloud, AI, consulting and enterprise technology.
For experienced professionals, Cognizant can provide exposure to large enterprise projects, global clients, modern technology stacks and cross-functional delivery environments. This makes these openings particularly relevant for candidates looking to move into Senior Associate, Manager or Senior Manager-level responsibilities.
📋 Open Positions
| Business Unit | CCA Role | Skill / Position | Experience | Location |
|---|---|---|---|---|
| IOA | SM | AI Agents; TypeScript; Node.js | 7–15 Years | Remote – Pan India |
| IOA | SA | Full Stack TypeScript/JavaScript Developer + Puppeteer/Playwright | 6–9 Years | Remote – Pan India |
| IOA | SM | AI Agents; TypeScript; Node.js | 7–15 Years | Pan India |
| IOA | SA | Full Stack TypeScript/JavaScript + Puppeteer/Playwright | 6–9 Years | Pan India |
| IPA – Automation | SA/M | Senior CRM Developer / Architect | 6–12 Years | Pan India |
| IPA – Automation | SA/M | Canvas App Developer | 6–12 Years | Pan India |
| IPA – Automation | SA/M | Blue Prism Developer | 6–12 Years | Pan India |
| IPA – Automation | SA/M | Forward Deploy Engineer – AI/ML Systems, MLOps | 6–12 Years | Bengaluru |
| IOA-CMT | SM | Process Excellence / Transformation | 16–25 Years | Hyderabad |
| IPA Consulting | M | Data Analytics, Project Management | 10–13 Years | Bengaluru |
| IPA Consulting | SA/M | Payments BA, SWIFT, ISO 20022 | 5–10 Years | Bengaluru |
🌟 Why These Roles Are Good for Experienced Professionals
These opportunities are valuable because they are not limited to traditional application-development skills. Several positions focus on AI agents, modern JavaScript/TypeScript ecosystems, automation and AI/ML operations, giving candidates an opportunity to work with technologies that are increasingly important in enterprise transformation.
The AI Agents + TypeScript + Node.js positions are especially attractive for senior developers who want to move beyond conventional backend development toward agentic AI applications.
The Full Stack TypeScript/JavaScript + Playwright/Puppeteer roles combine application development with browser automation, making them suitable for engineers with strong frontend/backend knowledge and automation experience.
The senior-most opportunity—Process Excellence/Transformation with 16–25 years of experience—is aimed at professionals capable of driving organizational transformation rather than simply implementing technology.
🧰 Skills Required
🔹 AI Agents: Agentic workflows, LLM integration, tool calling, prompt engineering, evaluation and AI application architecture
🔹 TypeScript/Node.js: TypeScript, JavaScript, Node.js, REST APIs, asynchronous programming and scalable backend development
🔹 Automation: Playwright, Puppeteer, browser automation, test design and CI/CD
🔹 CRM: CRM customization, integrations, workflows and solution architecture
🔹 Power Platform: Power Apps, Canvas Apps, Power Automate and Dataverse
🔹 Blue Prism: RPA development, process automation, exception handling and production support
🔹 MLOps: Python, ML pipelines, Docker, Kubernetes, cloud, model deployment, monitoring and CI/CD
🔹 Consulting: Data analytics, stakeholder management, project management and transformation strategy
🔹 Payments: SWIFT messaging, ISO 20022, payment lifecycle, business analysis and financial-services processes
🎯 Expected Cognizant Interview Rounds
Round 1 – Resume/Recruiter Screening: Expect verification of experience, skills, location, notice period, compensation and role alignment.
Round 2 – Technical Interview: The focus should match the position. AI candidates may face agent architecture and LLM questions; TypeScript candidates can expect coding and Node.js; automation candidates may face Playwright/Puppeteer; MLOps candidates should prepare deployment and production scenarios.
Round 3 – Managerial/Architect Discussion: Senior Associate, Manager and Senior Manager candidates should expect leadership, architecture, stakeholder and delivery questions.
Round 4 – Client Interview: Cognizant notes that some positions may include a client interview, so candidates working on consulting/client-facing roles should prepare business scenarios and communication skills.
Round 5 – HR/Final Discussion: Compensation, notice period, location, career goals and joining requirements may be discussed.
💰 Expected Salary Range
Cognizant does not publish salary bands for these openings in the supplied information. Compensation can vary significantly by CCA level, experience, technology, client, location and negotiation. As a broad market-oriented expectation rather than an official Cognizant figure, experienced candidates may see approximately ₹12–30+ LPA, while senior architects/managers and highly specialized AI/MLOps professionals can command higher packages. Candidates should confirm the actual compensation with the recruiter.
🧠 Preparation Tips – Role Specific
🤖 AI Agents: Prepare multi-agent architecture, tool calling, memory, orchestration, evaluation, guardrails and production deployment—not just basic RAG.
⚡ TypeScript/Node.js: Practice async/await, promises, event loop, TypeScript types, REST APIs, error handling and scalable service design.
🎭 Playwright/Puppeteer: Prepare framework architecture, fixtures, selectors, parallel execution, API integration, retries and CI execution.
🔵 Blue Prism: Revise process/object design, queues, exception handling, credentials, scheduling and production support.
☁️ MLOps: Prepare model deployment, CI/CD, Docker, Kubernetes, monitoring, model versioning and rollback strategies.
📊 Data Analytics/PM: Prepare stakeholder management, project planning, KPI definition, risk management and data-driven decision-making.
💳 Payments: Understand SWIFT and ISO 20022, payment messages, transaction lifecycle, reconciliation and migration considerations.
📄 Resume Tips
Tailor your resume to one specific opening instead of submitting the same generic profile for every Cognizant role.
✅ Put the exact target technology in your headline.
✅ Quantify project impact, automation coverage, cost reduction or performance improvements.
✅ For AI roles, mention production GenAI/agent implementations rather than only courses.
✅ For MLOps, highlight deployment, monitoring and CI/CD ownership.
✅ For automation, mention framework architecture and execution scale.
✅ For consulting roles, emphasize stakeholder and delivery ownership.
✅ For Payments BA, explicitly mention SWIFT, ISO 20022 and payment-domain projects where applicable.
📩 How to Apply
👉 Application Link: Click Here
Cognizant recommends searching and applying through its official careers platform, where candidates can filter opportunities by role, location and category.
📅 Application deadline mentioned in the hiring post: September 3, 2026
📍 Locations: Pan India / Bengaluru / Hyderabad
💼 Experience: 5–25 Years depending on the role
🚀 Final Takeaway
This Cognizant hiring drive is particularly attractive for experienced professionals who want to work on AI Agents, modern TypeScript development, intelligent automation, MLOps, CRM, data transformation or financial-services technology. The biggest advantage is the variety of career tracks—from hands-on engineering to architecture, consulting and transformation leadership.
For the best chance of selection, choose the role that most closely matches your existing project experience, customize your resume around that technology, and prepare for scenario-based technical discussions rather than relying only on theoretical questions. Cognizant itself recommends preparing answers around your experience, relevant skills, impact and aspirations, and its interview guidance suggests using the STAR framework for experience-based questions.
