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Cisco

Forward Deployed Engineer, Customer Experience AI

Cisco is hiring a Forward Deployed Engineer, Customer Experience AI in Krakow, Poland. Level rates it ; you can apply on Cisco.

Level's read on this job

  • Level rates this forward deployed engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include RAG and AI agents.
  • Level classifies it as a senior role.
  • Level lists 1,400+ other open roles at Cisco.
  • The role was posted in the last few days.

AI in this role

ragai-agents

Meet the Team

The Forward Engineering team is part of Cisco’s Customer Experience Business Unit, focused on driving AI adoption for strategic customers across Cisco’s contact-center portfolio, including Webex Contact Center, Webex Contact Center Enterprise, and on-premises solutions. We bring together customer interactions, human and AI agents, workflows, and enterprise systems to improve customer experience and business performance. You’ll work alongside customers, Cisco’s partner ecosystem, account teams, product managers, and engineers in a collaborative, hands-on environment. Our work connects customer priorities with technical delivery and product development, turning successful deployments into reusable approaches and enabling partners to scale their impact. Join us to help shape how leading organizations bring AI into their contact-center operations.



Your Impact

Drive AI adoption for strategic customers across Cisco’s contact-center portfolio, working with Cisco’s partner ecosystem to guide engagements from discovery and solution design through production deployment and measurable business outcomes. Identify and prioritize AI use cases with customers and partners by assessing customer journeys, contact-center operations, existing systems, and business objectives. Build and deploy AI solutions and production integrations using Cisco AI capabilities, APIs, and enterprise platforms such as Salesforce and ServiceNow. Lead pilots and adoption programs while enabling partners through hands-on collaboration, technical guidance, and knowledge sharing to deliver and scale successful solutions. Translate customer needs and deployment findings into actionable product feedback, reusable architectures, and implementation playbooks that accelerate adoption across customers and partners.



Minimum Qualifications

  • 5+ years of experience developing software or delivering enterprise technology solutions, including hands-on implementation.
  • Experience programming in Python, Node.js, or a comparable language.
  • Experience building integrations using APIs, webhooks, and enterprise systems.
  • Experience delivering technical solutions for enterprise customers or stakeholders, from requirements gathering through production deployment.
  • Experience building or integrating an AI application using an LLM platform, conversational AI framework, or AI service.


Preferred Qualifications

  • Experience with contact-center platforms, CCaaS, CPaaS, CRM, IVR, or call-routing environments.
  • Familiarity with Webex Contact Center, Webex Contact Center Enterprise, or Cisco on-premises contact-center solutions.
  • Experience with conversational AI, voice agents, retrieval-augmented generation, or real-time analytics, including evaluating quality, cost, latency, and reliability.
  • Experience defining success measures, evaluating pilot results, and supporting adoption of AI solutions in enterprise operations.
  • Strong consultative and communication skills, including experience collaborating with partners, providing technical enablement, and translating business needs into technical solutions.

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.

How we rate this

Forward Deployed Engineer, Customer Experience AI at Cisco rates 77 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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agents

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. 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: RAG and AI agents. 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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