Analyst – Generative AI

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (Python coding, AI/ML concepts, project discussion) → Round 3: HR interview (behavioral fit, communication, career aspirations)

HCLTech promotes a collaborative culture where learning is continuous and employees are encouraged to experiment with new technologies. The company offers structured career ladders, regular up‑skilling programs and a balanced work‑life environment, with flexible remote‑work options for many roles.

Candidates typically face a three‑stage process: an online aptitude test lasting 30‑40 minutes, followed by a technical interview that dives deep into Python coding, data‑processing logic and AI/ML project details, and finally an HR round focusing on communication, teamwork and cultural fit. The difficulty is moderate; strong fundamentals and clear project articulation are key to success.

Engineering degree (any branch) with minimum 60% aggregate; 0–3 years of experience (fresh graduates eligible); must have strong Python programming skills; must have completed at least one AI/ML or LLM‑based project (academic, internship or self‑initiated); no active backlogs at the time of application; eligible batch years typically 2022‑2026.

HCLTech is a global technology services and solutions provider with a presence in over 50 countries. The company helps enterprises across banking, manufacturing, life‑sciences, telecom, retail and many other sectors to modernise their IT landscape, adopt cloud, and leverage emerging technologies such as artificial intelligence, data analytics and Internet of Things. With a workforce of more than 200,000 professionals, HCLTech is known for its "Mode 1‑Mode 2" strategy that blends traditional IT services with next‑generation digital offerings, fostering a culture of continuous learning and innovation. The Analyst – Generative AI role is positioned within HCLTech’s Artificial Intelligence practice and is targeted at fresh engineering graduates or early‑career professionals (0‑3 years). The position is advertised under the title "Analyst (Support & Operations)" but the actual work revolves around building and supporting generative‑AI agents. Candidates will work on cloud‑based AI platforms, use Python to develop pipelines, and contribute to the design, implementation and optimisation of large language model (LLM) driven solutions. The role offers a blend of hands‑on coding, data engineering and collaborative problem‑solving, making it an ideal launchpad for anyone passionate about the future of AI. Key responsibilities include: 1. Designing and developing AI agents using LangChain, LangGraph and Python. 2. Integrating generative‑AI models on cloud platforms such as AWS, Azure or GCP. 3. Collecting, cleaning and preprocessing data sets required for model training and evaluation. 4. Assisting senior engineers in fine‑tuning LLMs for specific business use‑cases. 5. Conducting performance benchmarking and suggesting optimisation strategies. 6. Preparing technical documentation, workflow diagrams and knowledge‑base articles. 7. Collaborating with cross‑functional teams to translate business requirements into AI solutions. 8. Participating in code reviews, unit testing and continuous integration pipelines. 9. Staying updated with the latest research in generative AI, LLMs and agentic systems. 10. Supporting the rollout of AI‑driven prototypes to production environments. Tech stack: Python, LangChain, LangGraph, PyTorch/TensorFlow, HuggingFace Transformers, REST APIs, Docker, Kubernetes, cloud services (AWS SageMaker, Azure AI, GCP Vertex AI), Git, CI/CD tools. Growth path: Analysts typically progress to Senior Analyst, then to AI Engineer, AI Solution Architect and eventually to Lead/Manager roles within the AI practice. HCLTech invests heavily in internal up‑skilling through its "Digital Academy" and offers certifications in cloud and AI technologies, ensuring a clear trajectory for career advancement. Why join HCLTech? The company provides exposure to large‑scale enterprise projects, mentorship from seasoned AI professionals, and a supportive environment that encourages experimentation with cutting‑edge generative‑AI tools. Employees benefit from flexible work‑from‑home policies, competitive compensation, and a strong emphasis on work‑life balance, making it an attractive destination for ambitious freshers.