AI & Connectivity Specialist

As an AI & Connectivity Specialist, you will sit at the intersection of infrastructure, software, and artificial intelligence, helping enterprise clients navigate the shift toward AI-driven operations.

You will act as a trusted advisor to technical architects and C-suite stakeholders, mapping Cisco's AI stack to specific business outcomes.

Key Responsibilities:

• 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.