• Experience: 12-15years
• Location: Noida/Bangalore
• Requirements: Experience in Observability and OpenTelemetry - LLM/Applications
• Send resumes to: [email protected] with below details:
• Name:
• Exp:
• CTC:
• ECTC:
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Job Description:
Level: 12+ years in software or platform engineering, including 3+ years designing
GenAI systems that other engineers shipped.
Own the architecture for LLM applications and the platform under them: models,
data, agents, evaluations, delivery, and the controls around them.
You will
 Set the architecture for model access, retrieval, agent runtime, shared tools,
and one place to see traces and scores.
 Choose when one agent is enough and when work splits across agents. MCP
is the tool boundary. Multi-agent handoff, including A2A, is the agent
boundary.
 Define RAG so index lifecycle, citations, and freshness are part of the design,
and judge whether the enterprise data can support it.
 Set standards others implement: OpenTelemetry GenAI as the span contract,




an evaluation approach so scores stay comparable, and LLMOps so prompts,
agents, and indexes are versioned, regression-tested, and rollback-able.
 Place guardrails, tenancy, secrets, and retention in the platform. Decide what
an agent may read or change, and where a person must approve.
 Shape inference for latency and cost: model routing, smaller models where
they are enough, caching, and batching where they help.
 Write the architecture down and defend the tradeoffs with engineering and
with the people who own the business outcome.
Skills
 A system you can walk through from request to stored trace, score, and cost,
on a cloud you have operated: AWS, Azure, or GCP, including Bedrock, Azure
OpenAI, Vertex AI, or Databricks.
 One agent framework at design depth: LangGraph, CrewAI, AutoGen,
Semantic Kernel, OpenAI Agents SDK, or Google ADK. Familiarity with the
others is enough.
 RAG architecture: hybrid retrieval, reranking, g

📌 Gen AI Architect (Noida)
🏢 HCLSoftware
📍 Noida