Level

Cisco

Director, AI Engineering

AI in this role

ai-agentsnlpai-safety
The application window is expected to close on: 10/15/2026

Location: San Jose (Onsite)

No relocation will be provided

Meet the Team

The CX AI Incubation and Agent team builds breakthrough solutions across delivery intelligence, network automation, and edge computing for Cisco Customer Experience (CX) and our global customers. We partner across engineering, product, and design to develop scalable, responsible platforms leveraging Generative and Agentic AI. Join an inclusive, high-impact team pushing the boundaries of AI innovation to solve critical enterprise challenges.

Your Impact

As an engineering leader in Cisco CX, you will define and execute the technical strategy for AI solutions that transform customer adoption and renewals. You will lead high-performing engineering teams from concept to production, operationalizing autonomous agents, context engineering, and multi-agent orchestration platforms. In this role, you will combine deep technical architecture with business strategy to deliver production-grade AI systems at scale.

What You’ll Do

  • Drive engineering Delivery: Spearhead end-to-end development of agentic AI solutions across the CX customer adoption and renewals portfolio.
  • Architecture and platform: Lead architecture and build core platform to host Agentic solutions.
  • Lead Engineering Teams: Manage and mentor cross-functional teams of software, ML, and data engineers and technical leaders through full lifecycle delivery.
  • Standardize Tech Stack: Evaluate, select, and standardize tools, frameworks, and foundation model infrastructure across the portfolio.
  • Align Cross-Functionally: Partner with product management and business stakeholders to translate strategic requirements into production AI applications.
  • Set Engineering Standards: Establish best practices for responsible AI, context engineering, and observable agent deployment.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with 15+ years of software engineering experience (or Master’s degree with 12+ years).
  • 5+ years of engineering management experience leading software and ML engineering teams.
  • Experience programming in Python, Java, C++, or modern object-oriented languages.
  • Experience building and scaling data-driven AI/ML systems, AI-native applications, and AI agents, including agent harnesses and production-grade agentic architectures.
  • Experience building and deploying systems utilizing LLMs, NLP, Generative AI, or Agentic AI architectures.

Preferred Qualifications

  • Advanced degree (Master’s or PhD) in Artificial Intelligence, Computer Science, or Machine Learning.
  • Experience architecting multi-agent orchestration pipelines and context engineering systems.
  • Experience applying AI solutions to enterprise customer success, adoption, or renewal workflows.
  • Proven track record of technical leadership and cross-functional execution in fast-paced environments.
  • Strong communication skills with the ability to engage technical teams and executive business leaders.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $250,600.00 to $362,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$250,600.00 - $416,900.00

Non-Metro New York state & Washington state:

$241,400.00 - $371,000.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

How we rate this

Director, AI Engineering at Cisco rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsNLPAI Safety

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. How do you think about the risk of an AI system in this kind of role failing silently?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI Agents, NLP, and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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