Senior Technical Lead

HCLTech is looking for a highly talented and self- Senior MLOps Technical Lead to join it in advancing the technological world through innovation and creativity. Job Title: Senior MLOps Technical LeadJob ID: 2820452 Position Type: Full-time Location: US - Onsite- Cupertino, CA/ Austin, TX Onsite MandatoryObjective:Build intelligent, data-driven platform. The focus is to support the development of next-generation test analytics and test agents that enable faster insights, improved diagnostics, and scalable infrastructure for Generative AI systems connecting test stations, line level data and pipelines . You will build automated evaluation tools, and conduct rigorous statistical analyses to ensure the reliability of both human and AI-based assessment systems.Benchmark, adapt, and integrate AI/ML models into existing software systems. Independently run and analyze ML experiments for real improvements.Must-Have RequirementsRequirement DetailsBackend/Systems Experience 3+ years building production backend or distributed systems (pre-AI experience required)Production AI Systems Has shipped AI/LLM features serving real users at scale "” not just prototypes or demosAgentic Systems Has built AI agents, skills, tools, or MCP (Model Context Protocol) integrationsPython Proficient for backend developmentSecondary Language Working knowledge of Go, TypeScript, or RustCloud Infrastructure Deep experience with AWS/GCP/Azure "” cost optimization, compute decisions, not just deploymentContainer & Orchestration Hands-on with Docker and Kubernetes "” can build, deploy, debug, and scale services themselvesLLM Integration Understands token economics, context limits, rate limiting, structured outputs, API failure modesLLM Evaluation Understands how to evaluate LLM outputs and the inherent challenges (non-determinism, quality measurement, regression detection)Hands-On Engineer Not just an architect "” writes code, debugs production issues, deploys their own workPreferred / DifferentiatorsBuilt multi-step agentic workflows with tool use and function callingExperience with agent orchestration frameworks (LangGraph, CrewAI, or custom)Built guardrails, fallbacks, or graceful degradation for AI systemsStreaming inference and async agent orchestrationCost/latency optimization: caching, batching, prompt compressionML observability tools: Langfuse, Arize, Braintrust, W&BRetrieval systems (vector search, hybrid search) "” as a tool, not the focusPay Range Minimum: $ 64,000 per year Pay Range Maximum: $ 130,900 per yearHCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@ for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per yearHow You'll GrowAt HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Created: 2026-05-09