Customer Delivery Architect Cloud & AI
Cisco is hiring a Customer Delivery Architect Cloud & AI in Santiago, Chile. Level rates it ; you can apply on Level.
AI in this role
Meet the Team
Our CX Delivery Cloud & AI Team is all about delivering top-notch professional services to Cisco's main customers across LATAM. We're big on innovation, always innovating to boost customer satisfaction with innovative security solutions!.
Partnership is at our core—we collaborate closely with both internal teams and our customers to ensure everything runs smoothly. Our mission? To empower our customers to enhance their security posture and achieve outstanding business outcomes, turning ideas into powerful solutions.
Join us!
Your Impact
As a Delivery Architect in Cloud & AI, you will play a key role in designing, implementing, and migrating innovative security solutions for high-profile customers across LATAM. You will collaborate with technical and business partners to build robust security architectures that address complex cybersecurity challenges while ensuring seamless integration into existing IT environments.
This role offers a mix of hands-on technical work, customer engagement, and strategic consulting, making it an excellent opportunity for professionals who are passionate about delivering real-world security solutions that make a tangible impact.
As a Delivery Architect for Cloud & AI you will:
- Serve as the link between Cisco's technology and the customer's needs, designing and developing customized solutions aligned with the customer’s defined technology roadmap to solve business challenges.
- Deliver optimized outcomes by using AI-powered insights and automated design tools.
- Builds customer architecture strategy and provides strategic technical guidance to help customers align technology decisions with evolving business needs and increase the value of Cisco's solutions.
- Conceptualize, plans, designs, and leads multi-functional teams across multi-domain architectures, supervising technical aspects of projects.
- Develop implementation business impact, risk analysis, and mitigation plans, using data-driven insights and automation for proactive identification and mitigation strategies.
- Advocate relevant technologies and solutions within own domain, maintaining an AI-informed approach by staying ahead of on emerging AI trends to guide customers on appropriate applications.
- Own the end-to-end Multicloud solutions delivery process, from architecture design to implementation and migration.
- Work closely with internal teams, vendors, and customer Multicloud teams to develop customized security solutions.
Minimum Qualifications
- 5+ years of experience designing, implementing, and troubleshooting Cisco data center networks, with hands-on experience in Cisco ACI, Cisco Nexus Dashboard, and VXLAN EVPN fabrics on Cisco Nexus switches running NX-OS.
- Experience configuring and troubleshooting BGP and OSPF, including route redistribution, routing policies, and external connectivity, and integrating L4–L7 services such as firewalls and load balancers into data center networks.
- Hands-on experience developing network automation using Python, Terraform, Ansible, and REST APIs; working knowledge of LLMs and agentic AI concepts, including prompting, RAG, and tool/function calling, and their applications in network automation and operations.
- Pre-sales and customer engagement experience, ability to run workshops, proof of concepts (PoCs) and technical presentations to influence customer decisions.
- Fluent in English with excellent communication skills to effectively collaborate with global teams. B2 or equivalent.
Preferred Qualifications
- Cisco CCIE certification, preferably in Data Center.
- Experience implementing Infrastructure as Code (IaC) or Network as Code (NaC) workflows using declarative data models, reusable modules, Git-based version control, CI/CD pipelines, and automated validation, preferably with Cisco Network as Code solutions.
- Experience designing and delivering ACI Multi-Pod/Multi-Site or VXLAN EVPN Multi-Site architectures, including fabric migrations and Nexus Dashboard capabilities for fabric management, orchestration, and assurance.
- Experience designing and troubleshooting Cisco ACI L4–L7 service insertion using Service Graphs and Policy-Based Redirect (PBR), including traffic symmetry and high-availability considerations.
- Familiarity with AI agent frameworks such as LangGraph, LangChain, or equivalent, Model Context Protocol (MCP), and AI evaluation and security guardrails; practical experience developing LLM-based applications or AI-assisted automation workflows is a plus.
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
Customer Delivery Architect Cloud & AI at Cisco rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, AI Evaluation, LangChain, and LangGraph. 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.
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