Manager, Agentic Systems Engineering

Nutanix; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Nutanix is seeking a skilled individual in Bengaluru to own the roadmap and execution of agentic systems across support and QA automation. The role emphasizes architecting systems that ensure reliability and quality while leading an agile engineering team.

Key responsibilities include hands-on coding, driving iterative refinements, and scaling secure solutions for enterprise needs. Experience with workflow orchestration tools and integration with APIs like Salesforce and Jira is essential.

Qualifications

• Proven experience in architecting and designing agentic systems.
• Hands-on knowledge of coding practices and debugging.
• Experience leading teams in an agile environment.

Responsibilities

• Drive the roadmap for support automation and QA automation.
• Design multi-agent architectures for orchestration and approval workflows.
• Establish quality measurement frameworks and continuous improvement processes.

Skills

Agentic systems design

LLM orchestration

Workflow automation

Code development and debugging

Team leadership

Workflow orchestration tools (n8n, LangChain, etc.)

Tools

Salesforce

Jira

Slack APIs

Confluence

Job description

Job Responsibilities

• Own and execute: Drive the roadmap, execution, and delivery of multiple agentic systems across support automation, QA automation, documentation generation, and cross‑org workflow automation. You are accountable for shipping production‑quality agents on schedule.
• Architect agentic systems: Design multi‑agent architectures involving LLM orchestration, tool‑calling, retrieval‑augmented generation (RAG), structured output parsing, and human‑in‑the‑loop approval workflows.
• Stay hands‑on: Write and review code daily. Debug agent failures, optimize prompts and pipelines, and troubleshoot integration issues alongside your engineers.
• Drive reliability and quality: Move beyond "it works in a demo." Own the iterative refinement of agent accuracy, hallucination detection, output validation, and safety guardrails. Define quality measurement frameworks, build observability and monitoring into every agent, and establish feedback loops that drive continuous improvement.
• Build for scale and security: Design agents that operate reliably at enterprise scale. Think critically about rate limiting, cost controls, data privacy, prompt injection prevention, and secure handling of sensitive information across integrations.
• Lead and grow the team: Manage a team of engineers in a fast‑paced, agile environment. Set technical direction, remove blockers, and mentor engineers in agentic system design and production best practices.
• Measure what matters: Define and track KPIs for each agent — resolution accuracy, coverage, time saved, adoption — and use data to prioritize what to build next.
• Experience with workflow orchestration tools: n8n, LangChain, LangGraph, CrewAI, or similar.
• Familiarity with RAG architectures, vector databases, and semantic search.
• Background in support engineering or QA: understanding the pain points these agents solve.
• Experience integrating with Salesforce, Jira/Confluence, or Slack APIs.