AI Solutions Engineer

Cisco is hiring an AI Solutions Engineer in London, United Kingdom. Level rates it ; you can apply on Cisco.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Kubernetes, Networking and APIs.
Level classifies it as a senior role.
Level lists 1,400+ other open roles at Cisco.

AI in this role

Architect enterprise AI infrastructure solutions and guide clients through AI integration and deployment journeys as a technical authority.

KubernetesNetworkingAPIs

solution-architectureai-infrastructuresystems-engineeringcloud-infrastructuretechnical-sales

Systems Engineer – AI & Connectivity Specialist (UK & Ireland)

Meet the Team

As an AI & Connectivity Specialist, you will sit at the intersection of infrastructure, software, and artificial intelligence, helping our enterprise clients navigate the shift toward AI-driven operations. You are a skilled relationship builder, adept at quickly establishing credibility through deep domain expertise, executive presence, and clear communication. You will act as a trusted advisor to technical architects and C-suite stakeholders, mapping Cisco’s AI stack to specific business outcomes.

Your Impact In this role, you will partner with the AI Account Executive to serve as the technical authority for our AI Factory infrastructure solutions, guiding customers through their complete AI journey.

Drive End-to-End Solution Outcomes: Lead customers from initial AI use case ideation through to full-scale implementation, ensuring technical and business alignment.
Strategic Ecosystem Alignment: Facilitate seamless integration by aligning Cisco’s AI stack with key ISV and industry partners to deliver comprehensive, end-to-end solutions.
Solution Design & Infrastructure Leadership: Architect robust, scalable, and secure environments, leveraging Cisco’s AI-optimized networking, compute, and observability solutions to support complex AI workloads.
Proof of Value (POV) Execution: Design, implement, and drive Proof of Value (POV) projects, validating solution performance and business outcomes within customer environments.
Strategic Feedback & Thought Leadership: Collaborate with internal product engineering to influence the roadmap based on field insights and represent Cisco at industry events as a leader in secure, intelligent AI infrastructure.

Minimum Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Minimum of 5 years of experience in systems engineering or solution architecture within AI, data center, or cloud infrastructure equipment vendors.
Proven track record of success in the UK & Ireland enterprise or public sector market.
Deep understanding of Kubernetes, container orchestration, and microservices architecture.
Strong knowledge of networking protocols, security frameworks, and API-driven automation.
Excellent communication skills with the ability to articulate complex technical concepts to both executive and technical audiences.
Demonstrated experience in driving technical sales engagements and managing complex deal cycles.

Preferred Qualifications

Direct experience with AI/ML infrastructure architecture and protocols, network fabric and software runtime
Experience in AI application and Agentic development.
Experience with Infrastructure as Code (IaC), service orchestration
Expertise in cybersecurity and infrastructure observability.

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

AI Solutions Engineer 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

AI Solutions Engineer is an open job at Cisco.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in London, United Kingdom.
The job was posted on September 17, 2026.
Seniority: senior.
Applications are handled by Cisco. Apply on Cisco

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solution ArchitectureAI InfrastructureSystems EngineeringCloud InfrastructureTechnical SalesKubernetesNetworkingAPIs

Questions you could be asked

Tell me about a project where solution architecture was part of your work. What did you do?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Tell me about a project where systems engineering was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where technical sales was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Solution Architecture, AI Infrastructure, Systems Engineering, Cloud Infrastructure, and Technical Sales. 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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