# Director, Software Engineering | Enterprise AI Platforms, Infrastructure & Automation at Cisco

Cisco is hiring a Director, Software Engineering | Enterprise AI Platforms, Infrastructure & Automation in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/dcd2891c-4643-437d-b186-f811bb7af4d2?utm_medium=ai-agent).

AI Level 4, AI centrality 98 out of 100. Bangalore, India.

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 4 (score 98 out of 100)
- Location: Bangalore, India
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/dcd2891c-4643-437d-b186-f811bb7af4d2?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/director-software-engineering-enterprise-ai-platforms-infrastructure-automation-at-cisco-77c162

## Description

Meet the Team In Cisco Enterprise AI Platforms & Infrastructure (EAIPI), our vision is to architect, build, and scale world-class agentic AI platforms, foundation infrastructure, and developer ecosystems that power Cisco's next generation of intelligent products and services. We are the engineering organization behind Cisco's flagship AI initiatives, including MyAgent (Cisco's super agent) and the Circuit Enterprise AI platform. Our high-velocity team operates at the intersection of frontier generative AI, distributed systems, GPU infrastructure, and modern software engineering. We build with a steadfast focus on engineering craftsmanship, high talent density, principled quality, and developer enablement—empowering thousands of engineers across Cisco to create, validate, and scale multimodal agentic experiences. Your Impact As the Director of AI Support & Automation, you will build and lead our Bangalore-based engineering pod as an elite 'player-coach' calibrated two levels below the VP. Combining direct architectural leadership with deep, hands-on systems development across MyAgent and Circuit, you will set the benchmark for AI platform reliability and quality. You will enable the engineering organization to improve and optimize engineering processes and infrastructure, directing software systems development, application engineering, and software quality assurance for cloud-based and agentic AI platforms. Your directive spans across 5 core pillars: · Pillar 1: Tier 3 Engineering & Escalated Platform Support: Act as the ultimate engineering escalation authority for MyAgent and Circuit. Lead hands-on debugging, root-cause forensic analysis, and kernel/runtime patch development for complex production failures, memory leaks, context bleed, and tool execution anomalies. Bridge the gap between SRE/L2 operational support and core platform architecture with zero-regression hotfix. · Pillar 2: Premier AI Agent Test Harness & Evaluation: Architect and build an end-to-end, agent-driven test automation harness. Implement automated LLM-as-a-judge scoring frameworks, multi-agent simulation loops, deterministic task verification, and golden dataset benchmarking. Maintain uncompromising quality gates with >99% test pass rates across complex functional, regression, experimental, and safety workflows. · Pillar 3: AI Software & GPU Performance Validation: Lead performance profiling, stress testing, and concurrency load and latency validation across dedicated on-premise GPU clusters and cloud runtimes. Optimize latency, token throughput, context cache utilization, and resource efficiency. · Pillar 4: Modular SDK & API Developer Platform: Deliver modular, embeddable SDKs, React components, and headless APIs that empower thousands of Cisco software engineers to control, customize, and extend multimodal agentic experiences. · Pillar 5: High-Talent-Density Team Leadership: Recruit, mentor, and lead a small, high-density pod (6–10 elite systems, AI, and test automation engineers) in Bangalore. Lead by example through daily code reviews, technical design RFCs, pair programming, and rigorous engineering craftsmanship. • Technical Architecture & Testing Methodology: · Deterministic Harness Layer: Unit and integration verification of MCP protocol compliance, tool schema validation, state machines, token exchange (RFC 8693), and memory storage persistence. · LLM-as-a-Judge Evaluation Framework: Automated scoring pipelines using calibrated frontier and on-premise judge models to evaluate grounding, factual accuracy, safety guardrails, hallucination rates, and task completion against versioned golden sets. · Multi-Agent Simulation & Adversarial Red-Teaming: Automated agent swarms generating synthetic edge cases, malicious prompt injections, tool misuse attempts, and context overflow scenarios to proactively identify failure modes. · Continuous Canary & Regression Pipeline: Automated staging deployment validation with automated rollback mechanisms,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/director-software-engineering-enterprise-ai-platforms-infrastructure-automation-at-cisco-77c162

Source: https://jobsbylevel.com/jobs/director-software-engineering-enterprise-ai-platforms-infrastructure-automation-at-cisco-77c162

## Cite this page

Level. https://jobsbylevel.com/jobs/director-software-engineering-enterprise-ai-platforms-infrastructure-automation-at-cisco-77c162.

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