📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Cognizant 👥 Experience 0-2 years 🎓 Qualification Bachelor’s Degree 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹8.0 – ₹15.0 LPA (Depending on experience level) 🏢 Industry Technology 🛠 Key Skills AI Agent development GenAI development machine learning NLP LLM application building AI Customer Engineer at Cognizant — Full Details & How to Apply Cognizant is seeking an AI Customer Engineer in Bangalore, Karnataka, India , where you can leverage your skills in AI Agent and GenAI development to impact real-world solutions. This role offers a unique chance to work on cutting-edge technologies that enhance client-facing AI solutions. The demand for skilled engineers in AI is surging, making the AI Customer Engineer role at Cognizant crucial in the technology sector. As AI continues to transform industries, this position allows you to contribute directly to improving customer experiences and operational efficiency through innovative AI solutions. Cognizant is one of the largest IT services companies globally, with over 300,000 employees and a commitment to leveraging technology for better business outcomes. Founded in 1994 , Cognizant emphasizes a culture of innovation and collaboration, making it an ideal workplace for aspiring tech professionals. This role is perfect for 2022, 2023, 2024, 2025 graduates with a Bachelor’s Degree and 0-2 years experience . The salary for this position ranges from ₹8.0 – ₹15.0 LPA (Depending on experience level) , providing a competitive entry point into the tech industry. In this role, you will work with essential skills such as machine learning , NLP , and LLM application building . This experience not only enhances your technical expertise but also opens doors to advanced positions in AI and machine learning, positioning you for a successful career trajectory. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the AI Customer Engineer role at Cognizant is to develop innovative AI solutions that enhance customer interactions and drive business success through advanced technology. Develop and deploy AI Agents using Python and TensorFlow to improve customer engagement and satisfaction. Utilize machine learning algorithms to optimize AI solutions, ensuring they meet client needs with high performance and reliability. Collaborate with cross-functional teams, including Data Science and Product Management , to align AI solutions with specific business objectives. Analyze performance metrics of deployed AI solutions to identify areas for improvement and optimization, enhancing overall effectiveness. Take ownership of project deliverables, ensuring timely completion and adherence to quality standards throughout the development process. Document technical specifications and user guides for AI solutions, facilitating knowledge transfer and effective user training. Engage with clients to troubleshoot issues and provide tailored AI solutions that meet their specific requirements and expectations. Emphasizing ownership and accountability, this role allows you to directly impact client success and contribute to innovative AI advancements. Required Skills & Technical Competencies The AI Customer Engineer role requires a robust skill profile in AI technologies and problem-solving capabilities to effectively address client challenges. Technical Skills AI Agent Development — entry — critical for creating intelligent systems that enhance user experiences through practical applications. GenAI Development — entry — essential for building generative models that can create new content applicable in various client projects. Machine Learning — entry — used daily to develop predictive models that drive business insights and decision-making for clients. Natural Language Processing (NLP) — entry — necessary for developing applications that understand and generate human language effectively. Soft Skills & Professional Competencies Problem-solving skills — vital for addressing client challenges and developing effective AI solutions tailored to their needs. Communication skills — essential for engaging with clients and cross-functional teams to convey technical information clearly. Time management — important for prioritizing tasks and ensuring timely delivery of project milestones. Adaptability — crucial for adjusting to evolving client requirements and technological advancements in AI. Good to Have (Bonus Skills) Experience with cloud platforms like AWS or Azure , enhancing deployment capabilities of AI solutions. Familiarity with data visualization tools such as Tableau , aiding in presenting AI insights to stakeholders effectively. Knowledge of Agile methodologies , streamlining project management and improving team collaboration. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for recent graduates eager to start their careers in AI and technology, with a focus on foundational knowledge and skills. A Bachelor's Degree in Computer Science , Engineering , or related fields is required. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply. No prior experience is necessary, making this role ideal for freshers. A minimum academic performance of 60% is preferred to demonstrate commitment in technical subjects. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects and skills. Include links to your portfolio or GitHub for showcasing your work. Pro tip: Tailor your application to highlight specific experiences with AI Agent Development and machine learning to stand out in the selection process. Salary for AI Customer Engineer at Cognizant 💰 Compensation ₹8.0 – ₹15.0 LPA (Depending on experience level) The advertised compensation for the AI Customer Engineer role at Cognizant is ₹8.0 – ₹15.0 LPA (Depending on experience level) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Cognizant Cognizant 's hiring process is designed to identify candidates who not only possess the required technical skills but also fit well within the company culture. 1 Online Assessment — 60 minutes, testing technical knowledge in AI and machine learning through MCQs. 2 Technical Interview — focuses on machine learning concepts, NLP applications, and problem-solving skills. 3 Behavioral Interview — assesses cultural fit and teamwork through situational questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Assessment Machine Learning Basics — understanding algorithms and their applications is crucial for this role. — Coursera NLP Fundamentals — knowledge of language processing techniques is essential. — GeeksForGeeks AI Agent Development — familiarity with frameworks used in AI development. — Khan Academy Data Structures and Algorithms — foundational knowledge for technical assessments. — LeetCode Round 2: Technical Interview Deep Learning Techniques — understanding neural networks and their applications. — Coursera NLP Techniques — depth in sentiment analysis and language models. — GeeksForGeeks GenAI Concepts — knowledge of generative models and their use cases. — Khan Academy Problem-Solving Scenarios — practice coding challenges relevant to AI. — LeetCode Client-Facing Solutions — understanding how to tailor AI applications for user needs. — GeeksForGeeks Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences. — MindTools Team Collaboration — examples of successful teamwork in projects. — YouTube Technical Deep-Dive — be ready to discuss specific projects or technologies used. — GeeksForGeeks Timeline & Expectations The application to offer timeline typically spans 1-2 weeks , allowing candidates to prepare adequately for each stage. Focus on demonstrating both technical expertise and cultural fit throughout the interview process. Expected Interview Questions for AI Customer Engineer at Cognizant These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain the difference between supervised and unsupervised learning. How would you implement an AI Agent for customer support? What are the challenges in deploying NLP solutions? Describe a project where you used machine learning to solve a problem. What tools do you prefer for AI development and why? How do you evaluate the performance of an AI model? Behavioral Questions Describe a time you faced a challenge in a project and how you overcame it. How do you prioritize tasks when working on multiple projects? Give an example of a successful team project and your role in it. How do you handle feedback and criticism? Role-Specific Questions What specific AI technologies are you familiar with that apply to this role? How would you approach building a client-facing AI solution? What do you think are the key metrics for success in AI projects? Structure your answers using the STAR method to clearly articulate your experiences and thought processes. Resume Tailoring & ATS Keywords for AI Customer Engineer Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include AI Customer Engineer GenAI development machine learning NLP AI Agent development client-facing solutions Python TensorFlow data analysis problem-solving collaboration technical documentation Resume Tips for This Role Highlight relevant projects in AI or machine learning to showcase practical experience. Emphasize teamwork and collaboration skills, as they are crucial for this role. Include links to your portfolio or GitHub to demonstrate your coding skills. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to AI or technology. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not directly relate to the AI Customer Engineer role. About Cognizant Cognizant was founded in 1994 and is headquartered in Teaneck, New Jersey . With a workforce of over 150,000 professionals , it has established a significant presence in Bangalore, Karnataka, India , and operates in more than 40 countries worldwide, showcasing its extensive global footprint. The company specializes in digital transformation services, including AI , cloud computing , and IoT solutions . Its offerings, such as Cognizant AI and Cognizant Cloud , cater to various industries, helping clients enhance operational efficiency and drive innovation. Cognizant has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.2 , reflecting high employee satisfaction. The company invests in employee development through comprehensive training programs and mentorship opportunities, fostering a culture of continuous learning and growth. Recently, Cognizant announced a strategic partnership with leading AI firms to enhance its service offerings, demonstrating its commitment to innovation. This initiative aims to integrate advanced technologies into its solutions, positioning the company at the forefront of the tech industry. For freshers in technology, Cognizant serves as an excellent launchpad, providing extensive training programs in AI and machine learning . The company’s mentorship opportunities enable new employees to develop their skills and advance their careers in a supportive environment. Why Join Cognizant as AI Customer Engineer? Joining Cognizant as an AI Customer Engineer offers a unique chance to work with cutting-edge technologies and develop skills that are in high demand in the tech industry. Hands-On Experience — Gain practical skills in AI Agent development using tools like TensorFlow and PyTorch , essential for creating intelligent applications. Career Advancement — After 1-2 years, transition into roles such as AI Solutions Architect or Machine Learning Engineer , significantly enhancing your career trajectory. Collaborative Culture — Experience a work environment that emphasizes teamwork and innovation, crucial for personal and professional growth. Flexible Work Model — Enjoy a hybrid work model that allows for a balanced lifestyle, enabling you to work from home while engaging with a vibrant office community. Continuous Learning — Participate in ongoing training programs that keep you updated with the latest advancements in GenAI development and other emerging technologies. According to NexisGrow.com, the role of AI Customer Engineer at Cognizant not only provides valuable experience but also positions you at the forefront of technological innovation. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Customer Engineer at Cognizant? Eligibility Tap to expand + Answer Candidates with Bachelor’s Degree and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: AI Agent development, GenAI development, machine learning, NLP, LLM application building. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8.0 – ₹15.0 LPA (Depending on experience level). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Cognizant? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: AI Agent development, GenAI development, machine learning, NLP, LLM application building. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Customer Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of AI Agent development, GenAI development, machine learning, NLP, LLM application building, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Cognizant research, (5) Clear communication. ? What is the work culture like at Cognizant? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs More jobs at Cognizant Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com