Technical Specialist
India
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Job Description
Technical Specialist
Bengaluru, Karnataka

Job Summary

Senior subject-matter expert for the operations, observability, and lifecycle management of AI agents in production (“AgentOps” / LLMOps). Owns the frameworks and practices to safely deploy, monitor, evaluate, and continuously improve live agents — ensuring reliability, safety, cost-efficiency, and business-KPI performance across the Intel Agent Factory.

Key Responsibilities

  • Define and operate the AgenticOps framework: agent registry, versioning, guarded rollout, and rollback for production agents.
  • Establish continuous evaluation and monitoring: quality, autonomy, safety (guardrails, Model Armor), latency, cost, and reuse metrics.
  • Implement observability and tracing for multi-agent systems (Agent Engine Observability, Cloud Monitoring/Logging/Trace).
  • Own the 5-gate validation-to-production process and post-release escape management for delivered agents.
  • Design human-in-the-loop (HITL) supervision, feedback loops, and automated pre-production simulations for safe rollout.
  • Track and report agent business KPIs (CSAT, TAT, MTTR, cost savings) via AgentScore / Agent 360 dashboards.
  • Drive cost governance for agent runtimes: model tiering, context caching, batch/flex inference, budget caps and alerts.
  • Collaborate with DevOps SME (deploy) and AI & Data SME (grounding) to close the build-deploy-operate-improve loop; advise Intel on AgenticOps ownership transfer.

Skill Requirements

  • Strong LLMOps / MLOps / AgentOps experience operating GenAI or agentic systems in production.
  • Hands-on with Google Cloud agent runtimes: Vertex AI, Agent Engine, and observability tooling.
  • Agent evaluation and safety: eval frameworks, guardrails, Model Armor, HITL, prompt/robustness testing.
  • Monitoring, tracing, and reliability engineering (SRE) for AI workloads.
  • Cost governance and performance tuning for LLM/agent workloads.
  • Proficiency in Python; strong grasp of agent lifecycle and governance.

Other Requirements

  • Experience with ADK, A2A, MCP, and multi-agent orchestration in production.
  • BigQuery/Looker for agent analytics and KPI dashboards.
  • Responsible-AI, model governance, and audit/compliance frameworks.
  • Prior enterprise-scale AI platform operations experience.
  • 9–12+ years in ML/AI platform operations, SRE, or LLMOps with production agentic/GenAI exposure (Tier 5–6).
  • Google Cloud Professional (ML/DevOps) certification preferred.
  • Offshore (India) with US overlap, or Onsite (USA) as required.
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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.