AI Customer Engineer

Cognizant’s interview process typically starts with a timed online aptitude test covering quantitative, logical, and verbal reasoning. Successful candidates move to a technical interview where coding problems (often on arrays, strings, and graphs) and AI‑related questions are asked. The final HR round assesses cultural fit, communication, and career aspirations. Preparation should focus on problem‑solving speed, fundamentals of AI/ML, and clear articulation of project experiences.

Cognant offers a collaborative work environment with a focus on continuous learning and skill development. Employees benefit from structured career ladders, mentorship programs, and a balanced approach to work‑life integration, especially in hybrid settings.

B.Tech/B.E/M.Tech/M.Sc in Computer Science, Information Technology, Electronics, or related engineering streams; minimum CGPA 6.5/10 (or equivalent); graduating batch 2025‑2027; no active backlogs; strong programming fundamentals; good communication skills.

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding, AI concepts, system design) → Round 3: HR Interview (fitment, motivations)

Cognizant is a global leader in digital, technology, consulting and operations services. With a presence in over 40 countries, the company helps enterprises across industries transform their businesses through innovative solutions, especially in the realm of artificial intelligence. Cognizant’s AI practice, branded as Cognizant AI Builder, focuses on delivering end‑to‑end AI solutions that bridge the gap between AI research and real‑world business impact. The firm invests heavily in building AI talent, fostering a culture of continuous learning, and providing employees with access to cutting‑edge platforms and tools. The AI Customer Engineer role is a fresh‑graduate opportunity designed to accelerate the adoption of Generative AI technologies for enterprise clients. As a member of the AI Engineering team, you will collaborate closely with solution architects, product managers, and cross‑functional stakeholders to design, develop, and deploy production‑grade AI agents. The position is hybrid with a strong emphasis on on‑site collaboration in Cognizant’s Bangalore or Chennai offices, ensuring you gain hands‑on experience with client engagements and large‑scale deployments. Key responsibilities include: 1. Build and deploy AI agents and Generative‑AI‑powered applications using modern frameworks such as LangChain, CrewAI, or Autogen. 2. Design Retrieval‑Augmented Generation (RAG) pipelines, manage vector databases, and implement prompt‑engineering workflows. 3. Develop scalable backend services and RESTful APIs in Python using FastAPI. 4. Containerize applications with Docker and orchestrate deployments on cloud platforms using micro‑services architecture. 5. Integrate third‑party services, UI components, and APIs to deliver end‑to‑end solutions. 6. Ensure security, reliability, and performance of AI systems through rigorous testing and monitoring. 7. Participate in code reviews, version control using GitHub, and maintain reusable Python libraries. 8. Collaborate with cross‑functional teams to translate business requirements into technical specifications. 9. Contribute to documentation, knowledge sharing, and continuous improvement of AI development processes. 10. Stay updated with emerging AI tools, frameworks, and industry best practices. The tech stack revolves around Python, FastAPI, Docker, GitHub, LangChain, Hugging Face, OpenAI APIs, vector databases (e.g., Pinecone, Milvus), and cloud services (AWS, Azure, GCP). Growth paths include progressing to Senior AI Engineer, AI Solution Architect, or AI Product Manager, with ample opportunities for certifications and internal mobility. Joining Cognizant offers exposure to global clients, mentorship from seasoned AI professionals, and a vibrant learning ecosystem that encourages innovation and career acceleration.