Cisco Logo

Cisco

AI Solutions Engineer

Posted One Month Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Serve as technical authority for AI infrastructure solutions, guiding customers from use-case ideation to implementation. Architect scalable, secure AI-optimized networking, compute, and observability environments; run proofs-of-value; align Cisco�s AI stack with partners; influence product roadmap and represent Cisco externally. Work closely with account executives and C-suite stakeholders to drive technical sales and complex deal cycles.
The summary above was generated by AI

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. 

Similar Jobs

2 Days Ago
In-Office
Mid level
Mid level
Other • Financial Services
Designs, develops, integrates, and operationalizes AI and automation solutions across the credit union. Responsibilities include administering Microsoft Copilot, building AI assistants and RAG solutions, integrating APIs and enterprise systems, developing machine learning and analytics solutions, automating workflows, and deploying member-facing AI tools. The role also supports AI governance, regulatory compliance, risk assessments, reporting, and collaboration with technical and business teams.
Top Skills: Artificial IntelligenceAutomation AnywhereAzure Ai ServicesBusiness IntelligenceData EngineeringDevOpsGenerative AiJavaScriptMachine LearningAzureMicrosoft CopilotMicrosoft Power AutomateModel Context ProtocolNist Ai Risk Management FrameworkPrompt EngineeringPythonRest ApisRetrieval-Augmented GenerationRobotic Process AutomationSemantic SearchSource Control SystemsSQLTypescriptUipathVector DatabasesWorkflow Automation
17 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Partner with account executives and architects to win digital-native customers across the UK and Ireland. Lead hands-on evaluations, proofs of concept, technical demonstrations, and competitive positioning for Databricks’ data and AI platform. Engage engineers, founders, and executives; communicate technical and commercial value; develop customer-facing collateral; and support workshops and technical community events. The role requires regular London office attendance and approximately 20–30% travel across the region.
Top Skills: SparkAWSAzureClaude CodeCursorDatabricks AssistantDatabricks Data Intelligence PlatformDatabricks GenieDelta LakeFine-TuningGCPGenerative AiJavaLlmopsMachine LearningPythonRagScalaSQLStreaming
17 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.
Top Skills: SparkAWSAzureDatabricksDelta LakeGCPJavaMlflowPythonScala

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account