New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →

From the employer's careers site First seen 25 Oct 2026

Senior Technical Leader, CX AI Foundations

Cisco San Jose, CA Hybrid senior full-time

Salary

$256,900.00 to $333,400.00 per year

Apply on Cisco

Description

This is a hybrid role requiring 3 days per week in the San Jose, CA office.

Cisco's CX AI Foundations team owns the foundational AI platform behind intelligent customer experiences across Cisco. As a senior hands-on technical leader in Cisco’s CX Engineering organisation, you will architect, build, and deliver foundational, enterprise-scale AI services that power critical platform capabilities.

Your responsibilities include:

  • Owning complex technical challenges end-to-end, driving model selection and fine-tuning, inference optimisation, agentic infrastructure, multi-tenant API contracts, and air-gapped deployments across diverse compute targets.
  • Establishing the benchmark for scientific rigor and statistical evaluation, treating regression gating, judge calibration, and drift detection as mandatory release criteria.
  • Mentoring senior engineers through technical depth and influence rather than positional authority.
  • Collaborating across product, security, and executive leadership to drive architectural roadmaps, uphold responsible AI governance, and champion engineering excellence across the organisation.

Requirements:

  • Bachelor's degree with 11+ years of related experience, or Master's degree with 7+ years of related experience.
  • Machine learning experience, including model development, training and adaptation, and evaluation.
  • Experience with Python and modern ML frameworks such as PyTorch or JAX or similar.
  • Experience taking machine learning work from research or prototype through to production.
  • Production experience in at least one foundational AI platform area , model serving and inference, evaluation systems for generative AI, agentic/orchestration infrastructure, or AI platform services and APIs.
  • Experience leading full lifecycle projects.

Preferred qualifications:

  • Production Platform Ownership: Track record architecting and operating shared AI/ML inference platforms and APIs consumed across multiple teams.
  • Incubation to Delivery: Proven experience leading concurrent technical workstreams and navigating AI solutions from experimental incubation through to supported, enterprise-grade production products.
  • Engineering Mentorship: Demonstrated success mentoring, coaching, and elevating senior engineers and applied researchers.
  • Applied Machine Learning & Inference Systems Depth: Hands-on experience deploying and profiling LLM/SLM serving engines, fine-tuning, distillation, transfer learning, and PEFT/LoRA.
  • Enterprise, Edge & MLOps Infrastructure: Experience packaging and delivering AI services into cloud, customer-managed, air-gapped, and resource-constrained compute environments.

Benefits:

  • Medical, dental and vision insurance
  • 401(k) plan with a Cisco matching contribution
  • Paid parental leave
  • Short and long-term disability coverage
  • Basic life insurance
  • Paid time away
  • Optional 10 paid days per full calendar year to volunteer

Salary range: $256,900.00 to $333,400.00

Skills

Required

Nice to have

  • AI platform services
  • Agentic infrastructure
  • API contracts
  • Air-gapped deployments
  • Statistical evaluation
Apply on Cisco