Analyst – Generative AI

The HCLTech interview process typically starts with a timed online assessment covering quantitative aptitude and Python coding. Successful candidates move to a technical interview where they discuss AI/ML fundamentals, project work, and solve live coding problems. The final HR round focuses on cultural fit, communication skills, and career aspirations. Preparation should include strong Python practice, understanding of LLM concepts, and clear articulation of past projects.

HCLTech promotes a collaborative culture with a strong emphasis on continuous learning and innovation. Employees enjoy flexible work‑from‑home options, regular skill‑upgradation programs, and clear performance‑linked growth pathways. The company balances high‑impact projects with a supportive environment that values work‑life harmony.

Graduates with an Engineering degree in Computer Science, Information Technology, Electronics, or related technical disciplines. Minimum aggregate of 60% (or CGPA 6.0/10). Eligible batches: 2024, 2025, 2026. Maximum of 2 active backlogs allowed at the time of application. Must have strong Python fundamentals and demonstrable AI/ML project work (academic, internship, or independent).

Round 1: Online Assessment (Aptitude + Coding) → Round 2: Technical Interview (AI/ML concepts, Python coding, project discussion) → Round 3: HR Interview (fitment, communication, expectations)

HCLTech, a global leader in technology services, has built its reputation on delivering end‑to‑end solutions across cloud, cybersecurity, engineering, and artificial intelligence. With a presence in more than 50 countries and a workforce of over 200,000 professionals, the company helps Fortune‑500 enterprises transform their businesses. HCLTech’s AI practice focuses on creating intelligent agents, large‑language‑model (LLM) applications, and generative AI products that drive automation and innovation for clients across industries. The role of Analyst – Generative AI is designed for recent engineering graduates who have a passion for AI/ML and hands‑on experience with Python‑based AI projects. As an analyst, you will work closely with senior AI architects and product teams to design, develop, and deploy AI agents that can understand natural language, retrieve information, and perform task automation. The position offers exposure to cutting‑edge tools such as LangChain, LangGraph, and cloud AI platforms (AWS, Azure, GCP), providing a solid foundation for a career in generative AI. Key Responsibilities: 1. Design and implement AI agents using Python, LangChain, and LangGraph. 2. Integrate large‑language‑model APIs and cloud‑based AI services into end‑user applications. 3. Collect, clean, and preprocess datasets required for model training and evaluation. 4. Assist in fine‑tuning, benchmarking, and optimizing LLMs for specific business use‑cases. 5. Collaborate with cross‑functional teams to translate business requirements into technical specifications. 6. Produce and maintain comprehensive documentation for AI/ML pipelines and experiments. 7. Stay updated with the latest research and trends in generative AI, NLP, and deep learning. 8. Participate in code reviews, testing, and deployment of AI solutions in production environments. 9. Contribute ideas for new AI products and enhancements based on market needs. 10. Support the MLOps workflow by automating model versioning and monitoring. Tech Stack: Python, LangChain, LangGraph, Large Language Models (GPT‑4, LLaMA), Cloud AI services (AWS SageMaker, Azure AI, GCP Vertex AI), Git, Docker, basic MLOps tools. Growth Path: Analysts typically progress to Senior Analyst, AI Engineer, and then to AI Solution Architect or Product Manager roles within 2‑4 years, depending on performance and skill acquisition. HCLTech encourages continuous learning through internal academies, certifications, and mentorship programs. Why Join HCLTech? The company offers a vibrant, innovation‑driven environment where fresh talent can work on real‑world AI projects for global clients. Employees benefit from flexible work arrangements, robust learning resources, and a clear career ladder. Being part of HCLTech’s AI practice means contributing to transformative technologies that shape the future of enterprise automation.