Machine Learning Engineering Technical Leader, CX AI

Cisco

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$256,900–$333,400 / yr
Employment
Full-time
Posted
50 days ago
Freshness
Confirmed live today
Closes
Nov 27, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $295k
$158k $352k
below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $193,062–$253,787 — the blue band above. At the midpoint, this role pays about $295k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 296 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 228 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineering Technical Leader, CX AI

The Machine Learning Engineering Technical Leader - CX AI joins the CX AI Foundations team to architect and deliver enterprise-scale AI services. As a senior hands-on technical leader, you will own complex challenges including model selection, fine-tuning, inference optimization, and agentic infrastructure. You will build foundational layers for intelligent customer experiences across cloud, on-premises, and air-gapped environments. Key responsibilities involve establishing scientific rigor for regression gating, judge calibration, and drift detection while mentoring senior engineers. Required skills include Python and frameworks like PyTorch or JAX. You must demonstrate expertise in vLLM, TensorRT-LLM, Triton, SGLang, and llama.cpp, alongside experience with PEFT/LoRA, RAG architectures, and MLOps practices. This role bridges research and production engineering to solve problems in model serving, evaluation systems, and multi-tenant API contracts.

What you'll do

  • Architect and deliver enterprise-scale AI services for foundational platform capabilities.
  • Drive model selection, fine-tuning, and inference optimization for LLMs and SLMs.
  • Design multi-tenant API contracts and agentic orchestration infrastructure.
  • Establish statistical evaluation frameworks for regression gating, judge calibration, and drift detection.
  • Package and deploy AI services for cloud, on-premises, and air-gapped environments.
  • Build automated CI/CD pipelines, model registries, and real-time telemetry for MLOps.
  • Mentor senior engineers through technical depth and influence.
  • Uphold responsible AI governance and enterprise security standards across the organization.

What we're looking for

  • Bachelor's degree with 11+ years of related experience, or Master's degree with 7+ years of related experience.
  • Experience in machine learning including model development, training, adaptation, and evaluation.
  • Experience with Python and modern ML frameworks such as PyTorch or JAX.
  • Experience taking machine learning work from research or prototype through to production.
  • Production experience in model serving, inference, evaluation systems for generative AI, agentic infrastructure, or AI platform services and APIs.
  • Experience leading full lifecycle projects.
  • Track record architecting and operating shared AI/ML inference platforms and APIs consumed across multiple teams (preferred).
  • Hands-on experience deploying and profiling LLM/SLM serving engines like vLLM, TensorRT-LLM, or Triton (preferred).

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