Technical Specialist
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering · Software Engineering
In short
HCLTech is seeking a Senior Technical Specialist for AgentOps/LLMOps to manage the lifecycle of AI agents in production, ensuring reliability, safety, and performance. This role involves defining frameworks for deployment, monitoring, and continuous improvement of live agents, with a focus on cost governance and collaboration with DevOps and AI SMEs.
Responsibilities
- Define and operate the AgenticOps framework including agent registry, versioning, guarded rollout, and rollback.
- Establish continuous evaluation and monitoring for quality, autonomy, safety, latency, cost, and reuse metrics.
- Implement observability and tracing for multi-agent systems.
- Own the validation-to-production process and post-release escape management.
- Design human-in-the-loop supervision, feedback loops, and automated pre-production simulations.
- Track and report agent business KPIs via dashboards.
- Drive cost governance for agent runtimes, including model tiering and inference optimization.
- Collaborate with DevOps and AI SMEs to close the build-deploy-operate-improve loop.
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.
- Experience with agent evaluation and safety mechanisms: eval frameworks, guardrails, Model Armor, HITL, prompt/robustness testing.
- Experience with monitoring, tracing, and reliability engineering (SRE) for AI workloads.
- Experience with cost governance and performance tuning for LLM/agent workloads.
- Proficiency in Python; strong grasp of agent lifecycle and governance.
- Experience with ADK, A2A, MCP, and multi-agent orchestration in production.
- Experience with BigQuery/Looker for agent analytics and KPI dashboards.
- Experience with 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).
Desired Qualifications
- Google Cloud Professional (ML/DevOps) certification preferred.
- Offshore (India) with US overlap, or Onsite (USA) as required.
Benefits
- Supercharge your potential, find your career, and find your spark.
- Work at a place that knows that helping its customers stay on top starts by putting its people first.
- Global technology company with a presence in 60 countries.
- Opportunity to work with clients across major verticals including 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.
#AI#LLMOps#AgentOps#GenAI#Production#Monitoring#Observability#Cost Governance#Google Cloud#Python#SRE#ML Platform#Agentic Systems
Company
HCLTech
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
Bengaluru, India
United States
Applicants
Be an early applicant