Descripción de la oferta
Senior AI Architect at Kyndryl – Madrid, SpainPresente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.Kyndryl designs, builds, manages, and modernizes mission‑critical technology systems. As part of our AI Agentic Innovation Hub, we are looking for an exceptional senior AI architect to help shape next‑generation AI and Agentic AI solutions.Role OverviewAs a Senior AI Architect at Kyndryl’s AI Innovation Hub, you’ll be instrumental in translating strategic visions into scalable, secure, and reliable enterprise‑ready architectures.Your MissionDesign and implement end‑to‑end AI and Agentic AI architectures that connect business goals with technical excellence.Transform functional and analytical requirements into efficient, modular, and maintainable system designs.Collaborate with cross‑disciplinary teams to ensure each solution meets the highest standards of scalability, performance, and reliability.Support the creation of reference architectures and reusable components that accelerate the Hub’s innovation capacity.Act as a trusted technical partner, contributing to solution design reviews and providing architectural guidance during development.Evaluate emerging technologies in AI and cloud ecosystems, bringing forward innovations that can drive tangible value.Champion responsible and sustainable design practices, embedding governance and security into every layer of the architecture.Essential Qualifications3–6 years of experience designing and implementing AI/ML solutions or advanced analytics architectures.Proven experience integrating AI models into production environments (APIs, microservices, or data pipelines).Solid understanding of AI and ML architectures, including model lifecycle (data ingestion, training, validation, deployment).Proficiency with cloud ecosystems (Azure, AWS, GCP) and their AI/ML services (e.g., Azure ML, Vertex AI, OpenShift AI).Hands‑on experience with MLOps tools (MLflow, Kubeflow, Airflow) and container orchestration (Kubernetes, Docker).Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGen, LlamaIndex) and RAG architectures.Working knowledge of vector databases, APIs, and integration patterns for intelligent systems.Understanding of data privacy and regulatory frameworks (GDPR, EU AI Act, Responsible AI principles).Education & CertificationsBachelor’s or Master’s degree in Computer Engineering, Artificial Intelligence, Data Science, or related field.Postgraduate studies (Master’s or PhD) in AI, Big Data, or Cloud Computing are highly valued.Certifications in cloud architecture (Azure, AWS, or GCP) and MLOps frameworks are a plus.Continuous learning mindset and strong curiosity about emerging AI paradigms and technologies.Preferred SkillsExperience designing modular, scalable, and maintainable architectures for AI‑driven solutions.Knowledge of hybrid or federated AI deployments, integrating enterprise data and large language models.Exposure to observability and monitoring practices in AI workloads.Familiarity with semantic search, knowledge graphs, or LLM optimization pipelines.Experience collaborating in agile or DevOps environments, bridging data science and engineering teams.Ability to document and communicate architecture decisions clearly, supporting alignment across stakeholders.Curiosity to experiment with new frameworks and evaluate their maturity for enterprise adoption.Soft SkillsClear and adaptive communication, able to adjust language and detail to technical or business audiences.Strong synthesis and documentation skills, promoting transparency and collaboration across teams.Attention to detail and technical consistency, ensuring designs are both elegant and reliable.Analytical mindset, capable of translating functional goals into precise technical specifications.Collaborative spirit, thriving in multidisciplinary environments with shared ownership of results.Proactivity and curiosity, always exploring emerging trends and tools to enhance solution quality.Commitment to excellence, ensuring that every architecture contributes meaningfully to the Hub’s innovation mission.Being You – Diversity & InclusionDiversity is a whole lot more than what we look like or where we come from – it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences and are committed to creating a workplace where all Kyndryl employees can bring their whole selves to work.What You Can ExpectWith state‑of‑the‑art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, and create value. Kyndryl cares about your well‑being and offers benefits that give you choice, reflect the diversity of our employees, and support you and your family through the moments that matter.Get Referred! xcskxlj If you know someone who works at Kyndryl, select “Employee Referral” during the application process and enter your contact’s Kyndryl email address.Referrals increase your chances of interviewing at Kyndryl by 2xMadrid, Community of Madrid, Spain – 1 week ago#J-18808-Ljbffr
