Analyst – Generative AI (Support & Operations)

Round 1: Online Assessment (aptitude + basic AI concepts) → Round 2: Technical Interview (scenario‑based questions, troubleshooting, AI fundamentals) → Round 3: HR Interview (fitment, motivations, salary expectations)

HCLTech promotes an "Employees First" culture that encourages autonomy, continuous learning, and innovation. Employees enjoy a balanced work environment with flexible timings, opportunities for upskilling, and clear career progression pathways.

HCLTech interviews typically consist of an online aptitude test followed by a technical interview focusing on problem‑solving, AI concepts, and scenario‑based troubleshooting. The HR round assesses cultural fit and communication skills. Candidates should prepare with mock tests, review AI fundamentals, and practice clear articulation of solutions.

Graduates (B.Tech/B.E., B.Sc., BCA, M.Tech, MCA) from any stream with a minimum of 60% aggregate (or CGPA 6.0/10). Eligible batch years: 2025, 2026, 2027. Maximum of 2 active backlogs allowed at the time of application. Candidates must have strong communication skills in English and a keen interest in AI and IT operations.

HCL Technologies, a global IT services powerhouse, has been delivering cutting‑edge solutions for more than four decades. With a presence in over 50 countries, HCL serves Fortune‑500 clients across industries such as banking, healthcare, retail, and manufacturing. The company is known for its "Employees First" philosophy, which empowers its workforce to innovate, collaborate, and grow. In recent years, HCL has heavily invested in emerging technologies like cloud, cybersecurity, and artificial intelligence, positioning itself as a leader in the AI‑driven digital transformation space. The role of Analyst – Generative AI (Support & Operations) is designed for fresh talent eager to dive into the fast‑evolving world of generative AI. As an analyst, you will be part of a dedicated support team that ensures the smooth operation of AI‑powered applications, assists internal and external users, and helps troubleshoot issues related to large language models (LLMs). This position offers a unique blend of technical exposure and customer‑facing responsibilities, making it an ideal launchpad for a career in AI operations. Key Responsibilities: 1. Provide first‑line technical support for generative AI platforms and related services. 2. Monitor AI model performance, identify anomalies, and coordinate with engineering teams for resolution. 3. Assist users in crafting effective prompts and optimizing model outputs. 4. Document incidents, resolutions, and best‑practice guides for knowledge‑base creation. 5. Conduct routine health checks of AI infrastructure, including GPUs, storage, and networking. 6. Collaborate with cross‑functional teams to implement updates, patches, and new feature roll‑outs. 7. Analyze support tickets to identify recurring issues and propose process improvements. 8. Participate in on‑call rotations to ensure 24x7 availability of critical AI services. 9. Contribute to the creation of SOPs, troubleshooting playbooks, and training material for end‑users. 10. Stay updated with the latest trends in generative AI, LLMs, and prompt engineering to provide informed guidance. Tech Stack: Python, REST APIs, Docker/Kubernetes, cloud platforms (AWS/Azure), monitoring tools (Prometheus, Grafana), version control (Git), and familiarity with LLM frameworks such as Hugging Face Transformers. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, AI Operations Lead, and eventually to roles like AI Solutions Architect or Product Manager for AI services. The exposure to both technical and client‑interaction aspects equips analysts with a versatile skill set valued across the industry. Why Join HCL? HCL offers a vibrant learning ecosystem, mentorship programs, and access to world‑class AI labs. Freshers benefit from structured training, certifications, and the chance to work on real‑time AI deployments that impact global businesses. The company’s emphasis on work‑life balance, flexible work arrangements, and a collaborative culture makes it an attractive destination for ambitious graduates.