Senior Data Scientist

Job description

Observe agents in production. Instrument deployed agents to trace what they do and how they do it (reasoning steps, tool calls, retrieval, handoffs), so behavior can be explained after the fact. Benchmark across LLMs. Run the same agent against different models and compare quality, cost, latency, and failure modes. Measure behavior. Define and track accuracy, reliability, and repeatability metrics. Build evaluation harnesses that run on live or production-like traffic, not just offline test sets. Own runtime performance and scalability. Find bottlenecks under real load, such as model latency, tool-call chains, and token usage, and tune for throughput and concurrency. Protect chat UX. Monitor and reduce response latency (his benchmark: 5 minutes is unacceptable). Track time-to-first-token, end-to-end response time, and session abandonment. Validate that the agent solves real user needs. Check that it handles genuine customer problems and not just general-purpose questions, using real usage data and feedback. Give pre-release confidence. Assess whether an agent will "behave nicely" in a customer's actual environment before DISW ships it. Evaluate and recommend tooling. Since this is a new area, help select or build the observability stack. Skill Requirements Hands-on experience observing or evaluating an AI agent after deployment, in production or a production-like setup. Dev-only agent building doesn't qualify. Agent observability and tracing tools (for example LangSmith, Langfuse, Arize Phoenix, or OpenTelemetry-based tracing; these are examples, not names he gave). LLM and agent evaluation: metrics, test harnesses, regression testing, and handling non-determinism. Experience working with multiple LLMs and comparing them. Performance engineering for LLM applications: latency profiling, load testing, caching, and scaling. Familiarity with chat-based or conversational interfaces and their latency and UX constraints. Other Requirements Python, plus general monitoring and logging stacks (Prometheus, Grafana, ELK or similar). Agent frameworks and architectures (RAG, tool use, multi-agent orchestration), enough to understand what's being observed. Production and DevOps or SRE exposure, such as deployments, CI/CD, and incident analysis. Data analysis, to turn traces and logs into insight about behavior. 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 disable your ability to use Apply with LinkedIn. Cookie Policy Cookie Table Privacy Policy Terms and Conditions Consent to cookies from provider LinkedIn