Senior MLOps 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 Lead Job ID:

2820452

Position Type:

Full-time Location:

US Onsite- Cupertino, CA/ Austin, TX Onsite Mandatory Objective:

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 Requirements Requirement Details Backend/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 demos Agentic Systems Has built AI agents, skills, tools, or MCP (Model Context Protocol) integrations Python Proficient for backend development Secondary Language Working knowledge of Go, TypeScript, or Rust Cloud Infrastructure Deep experience with AWS/Google Cloud Platform/Azure cost optimization, compute decisions, not just deployment Container & Orchestration Hands-on with Docker and Kubernetes can build, deploy, debug, and scale services themselves LLM Integration Understands token economics, context limits, rate limiting, structured outputs, API failure modes LLM 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 work Preferred / Differentiators Built multi-step agentic workflows with tool use and function calling Experience with agent orchestration frameworks (LangGraph, CrewAI, or custom) Built guardrails, fallbacks, or graceful degradation for AI systems Streaming inference and async agent orchestration Cost/latency optimization: caching, batching, prompt compression ML observability tools: Langfuse, Arize, Braintrust, W&B Retrieval systems (vector search, hybrid search) as a tool, not the focus

Pay Range Minimum:

$ 64,000 per year

Pay Range Maximum:

$ 130,900 per year HCLTech 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 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 year How You ll Grow At 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.