Senior Data Scientist

Job description

This role demand strong GenAI experience, emerging mastery in Agentic AI Systems , and a good foundation in classical ML. You will design and build intelligent, tool-using agents , multi-agent systems , RAG pipelines , and LLM-based applications leveraging the LangChain , LangGraph ecosystem, LangSmith for evaluation. Key Responsibilities This role demand strong GenAI experience, emerging mastery in Agentic AI Systems , and a good foundation in classical ML. You will design and build intelligent, tool-using agents , multi-agent systems , RAG pipelines , and LLM-based applications leveraging the LangChain , LangGraph ecosystem, LangSmith for evaluation. Key Responsibilities 1. GenAI / LLM Application Development Build GenAI applications using: LangChain, LangGraph Implement RAG architectures with: Retrieval, reranking, chunking, memory strategies Vector DBs (faiss, aisearch, opensearch, PG vector etc). Design prompt-engineering strategies: Instruction-following ReAct (Reasoning + Acting) Chain-of-thought structuring Self-reflection and planning loops Evaluation Strategy Implement evaluation frameworks for Classical ML and GenAI systems, covering statistical validation, reliability, and robustness. Assess LLM outputs, RAG pipelines, and agent workflows for grounding quality, relevance, and retrieval accuracy (e.g., recall@k, precision@k). Use LangSmith for tracing, automated evaluations, regression testing, and continuous system‑level quality monitoring 2. Agentic System Architecture Build agentic workflows : Tool-calling agents Planner–executor systems Multi-agent communication systems Hierarchical agent architectures Deep Agents Integrate memory systems: episodic memory semantic memory vector-based long-term knowledge Implement evaluation frameworks for agentic systems using LangSmith. 3. Model Context Protocol (MCP) & Tooling Implement MCP servers for external tool connectivity. Build tools that allow agents to interact with: APIs Code execution environments Knowledge bases Company applications 4. Classical ML (Foundational DS Skills) Apply ML models to structured/unstructured data. Conduct feature engineering, model selection, hyperparameter tuning. Build interpretable models where required. 5. Engineering & Integration Collaborate with backend engineering teams to seamlessly integrate agentic and GenAI systems into production applications. Implement observability, tracing, and monitoring for GenAI workflows using LangSmith to ensure reliability and system‑level transparency. 6. Cloud ML-Ops & Quality ML Modelling, data drift, concept drift, model quality monitoring. Hands‑on experience across AWS/ Azure/ Databricks, with flexibility to work on any cloud platform. Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Skill Requirements Required Skills & Experience 5–10 years total experience, with 2–4+ years hands-on GenAI . Hands-on expertise with: LangChain, LangGraph LangSmith (tracing, metrics, evaluations) MCP tooling and agent tool integration ReAct, Tree of Thoughts, multi-agent orchestration RAG patterns and vector databases Strong coding expertise in Python. Classical ML foundations (tree models, regression, etc.). Experience working with LLM APIs and/or open-source LLMs. Experience building and debugging production-quality GenAI pipelines. Aws/azure GIT Ops Prior experience building complex multi-agent systems for real-world applications. Knowledge of multi-modal LLMs (vision, speech, code). Familiarity with structured evaluation of LLM systems (hallucination tests, safety assessments etc ). Experience in enterprise-grade LLM deployments. Other Requirements BE or Equivalent degree Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Functional Cookies These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies. Consent to all Functional Cookies Functional Cookies Provider Description Enabled Vimeo Vimeo is a video hosting, sharing, and services platform focused on the delivery of video. Opting out of Vimeo cookies will disable your ability to watch or interact with Vimeo videos. Cookie Policy Privacy Policy Terms and Conditions Consent to cookies from provider Vimeo YouTube YouTube is a video-sharing service where users can create their own profile, upload videos, watch, like, and comment on videos. Opting out of YouTube cookies will disable your ability to watch or interact with YouTube videos. Cookie Policy Privacy Policy Terms and Conditions Consent to cookies from provider YouTube Advertising Cookies These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies. Consent to all Advertising Cookies Advertising Cookies Provider Description Enabled Google Analytics Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. Cookie Information Privacy Policy Terms and Conditions Consent to cookies from provider GoogleAnalytics Google Tag Manager Google Tag Manager is a tag management system for conversion tracking, site analytics, remarketing, and more. Privacy Policy Terms and Conditions Consent to cookies from provider GoogleTagManager LinkedIn LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disa