Solutions Architect

About Klique

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Klique builds the governed AI infrastructure layer that enterprises, defense organizations, and research institutions run their most sensitive agentic workloads on. We're looking for engineers and sales professionals who want to work on hard problems at the intersection of AI, security, and scale.

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About the Role

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We are seeking a Solutions Architect who combines deep technical expertise with strong communication and problem-solving skills. The ideal candidate has a solid engineering background, ideally as a hands-on developer or DevOps engineer, and is eager to bridge the gap between technology and business outcomes.

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As a Solutions Architect at Klique, you will work directly with enterprise customers to design, deploy, and scale AI infrastructure solutions using Klique's platform. You'll collaborate with data scientists, AI/ML teams, and IT engineers to ensure success across the AI lifecycle, from experimentation and model training to deployment and monitoring.

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This is a hands-on role that requires technical excellence, clear communication, and the ability to operate effectively in a fast-paced, dynamic environment. Remote, with a preference for candidates based in Portugal or Spain.

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Responsibilities

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• Engage with enterprise customers to understand their technical challenges, architecture, and goals.

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• Design and implement scalable, secure, and efficient Klique-based solutions on Kubernetes and cloud/hybrid environments.

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• Lead technical workshops, proofs of concept (POCs), and architecture reviews.

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• Present complex technical concepts in a simple, business-oriented manner.

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• Collaborate closely with Product, Engineering, and Customer Success teams to ensure successful adoption and expansion.

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• Provide guidance and best practices for deploying AI workloads on Kubernetes clusters.

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• Troubleshoot customer environments and provide hands-on support during deployment and onboarding.

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• Contribute to documentation, solution templates, and reusable technical assets.

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Requirements

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• Strong hands-on expertise in Kubernetes: deep understanding of architecture, scaling, and operations.

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• Strong communication skills in English, both written and verbal.

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• Prior experience as a software engineer, DevOps engineer, or AI/ML engineer, with the desire to grow into a customer-facing Solutions Architect role.

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• Proven ability to design and deploy solutions in cloud or on-premise environments (AWS, GCP, Azure, or hybrid).

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• Experience with Docker, REST APIs, and Python-based solutions.

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• Comfortable working in a fast-paced, dynamic environment with minimal supervision.

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• Strong presentation skills, able to engage both technical and business audiences.

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• Willingness to work European and U.S. hours as needed for customer collaboration.

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• Team player with a proactive attitude and strong sense of ownership.

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Learn more and see all open roles: https://klique.ai/company/careers/