The Role:
We are seeking a highly skilled and experienced AI Platform Architect to design and evolve the core infrastructure of our cutting-edge AI platform. This platform will serve as the bedrock for training, deploying, and managing sophisticated AI systems, with a significant emphasis on multi-agent architectures. This role demands a visionary technologist with deep expertise in scalable systems, MLOps, and cloud-native technologies to ensure our AI platform is robust, efficient, and future-proof. The ideal candidate will not only design but also actively contribute to the hands-on development and implementation of the platform.
Key Responsibilities:
- Architect and Implement Core Platform Components: Lead the architectural design, development, and hands-on implementation of core features for our scalable and resilient AI platform, incorporating best practices for MLOps, automation, security, and infrastructure-as-code.
- Define Technical Standards: Establish technical standards, patterns, and guidelines for platform development, ensuring consistency, maintainability, and optimal performance.
- System Design and Prototyping: Design platform components for data management, experiment tracking, distributed training, model deployment, and monitoring, including specialized infrastructure for advanced systems like multi-agent AI and reinforcement learning.
- Technology Selection: Evaluate, select, and integrate key MLOps tools and technologies (e.g., Kubernetes, Kubeflow, vLLM, MLflow, Argo Workflows, CI/CD systems, artifact stores, monitoring solutions) in collaboration with DevOps and AI engineering teams.
- Performance Optimization: Design and implement solutions for efficient resource management, scheduling, caching, and cost optimization for large-scale AI training and inference workloads across various environments.
- Security & Governance: Collaborate with our AI safety team and other stakeholders to design and enforce platform security, data governance, and operational excellence principles.
- Cross-functional Collaboration and Hands-on Support: Work closely with AI researchers, AI engineers, and other engineering teams, including the broader software development team, to understand their architectural needs and translate them into robust platform solutions. Provide hands-on technical guidance and contribute directly to resolving critical platform-related issues.
- Innovation & Research: Stay at the forefront of new trends in AI infrastructure, LLMOps, MLOps, Kubernetes, and cloud-native technologies, driving architectural innovation and strategic recommendations.
- Mentorship & Guidance: Provide (technical) leadership and mentorship to platform and software engineers, guiding them in implementing architectural designs and solving challenging technical problems.
- Documentation: Create and maintain comprehensive architectural documentation, including system diagrams, design specifications, and technical roadmaps.
Qualifications:
- Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related field.
- More than 5 years of experience in software architecture, platform engineering, or MLOps, with a strong focus on large-scale distributed systems.
- Demonstrated experience in a hands-on architectural role, actively contributing to codebases and implementing complex system components.
- Proven track record of designing and delivering complex production-grade platforms or infrastructure for AI/ML workloads.
- Deep hands-on experience with Kubernetes, container orchestration, and the cloud-native ecosystem (e.g., Docker, Helm, Prometheus, Istio).
- Expertise in designing and implementing MLOps pipelines and infrastructure for the entire machine learning lifecycle (data ingestion, training, deployment, monitoring).
- Strong proficiency in programming (e.g., Python, Go and/or Java) and extensive experience with infrastructure-as-code tools (e.g., Terraform).
- In-depth understanding of ML frameworks (e.g., TensorFlow, PyTorch, JAX) and their underlying system requirements for performance and scalability.
- Significant experience designing infrastructure for complex AI workloads, with specific experience in multi-agent systems or reinforcement learning being a strong plus.
- Strong knowledge of distributed systems, networking, storage, security, and data governance in cloud (AWS, GCP, Azure) or on-premise Kubernetes environments.
- Experience with architectural patterns for high-performance computing (HPC) and GPU-accelerated workloads.
- Fluent English required; other European languages are a bonus.
Soft Skills:
- Exceptional architectural and problem-solving skills, with the ability to translate complex business requirements into elegant technical designs and contribute to their realization through code.
- Strategic and visionary thinker with a passion for building scalable, secure, and efficient AI infrastructure.
- Outstanding communication and collaboration skills, capable of articulating complex technical concepts to diverse audiences and influencing architectural decisions.
- Proactive and results-oriented, with a strong commitment to reliability, operational excellence, and continuous improvement.
- A mentor and technical leader, capable of guiding teams through challenging architectural implementations.
- Curious, open-minded, and committed to staying current with emerging technologies and best practices in AI and cloud-native architecture.
What We Offer:
- Join an innovative team and experience company growth.
- We believe in investing in our employees and providing them with opportunities for growth and career development.
- Work in a hybrid environment with flexible scheduling.
- We offer a remuneration that values your experience.
- A chance to build foundational infrastructure for one of the most transformative AI and silicon engineering companies in Europe.
- The position will be based in Ghent (Belgium). Occasional travel to Barcelona (Spain) might be required.
We are looking for exceptional leaders ready to build the infrastructure backbone for the future of AI. If you’re passionate about creating robust platforms that empower cutting-edge AI development, join us on our mission!
At Openchip & Software Technologies S.L., we embrace diversity and inclusion. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential – regardless of race, gender, ethnicity, sexual orientation, or gender identity.
