Senior Solutions Architect - Applications, Data & AI

About the role

Kyndryl is looking for a Senior Solutions Architect to join its Applications, Data & AI (ADAI) practice and lead the end-to-end technology architecture of complex enterprise transformation projects. This is a senior, hands-on role that connects business objectives with scalable, secure and modern technology solutions, working across applications, data, cloud, integration, AI, automation and operations.

Key responsibilities

• Lead end-to-end solution architecture for Applications, Data and AI projects.
• Translate business, functional and technical requirements into scalable designs and delivery roadmaps.
• Define and validate non-functional requirements such as performance, security, resilience, scalability, observability, compliance and operational readiness.
• Design modern architectures across applications, data platforms, cloud services, APIs, integrations, analytics and AI.
• Provide hands-on technical leadership to engineering and delivery teams, creating blueprints, technical designs, integration patterns, migration strategies and implementation guidance.
• Take part in workshops, proof-of-concepts, architecture reviews and design validation sessions.
• Identify technical risks, dependencies and modernization opportunities, and promote reusable patterns, automation, secure-by-design principles and engineering excellence.
• Act as a trusted advisor to clients and internal teams on architecture and technology decisions.

Required profile

• 7+ years of experience as a Solutions Architect, Enterprise Architect, Cloud Architect, Application Architect, Data Architect, Lead Engineer or similar.
• Proven experience designing and delivering enterprise-scale technology solutions.
• Strong knowledge of modern application architectures, cloud platforms, data platforms, APIs, integration patterns and distributed systems.
• Practical experience with cloud-native architectures on Google Cloud, AWS, Azure or hybrid environments.
• Experience with application modernization, migration, integration, data platforms, analytics, AI enablement or automation.
• Strong communication skills and ability to lead technical discussions and architecture reviews.

Required skills

• Preferred: microservices, APIs, event-driven architectures, containers, Kubernetes, DevSecOps and CI/CD.
• Preferred: data lakes, data warehouses, lakehouse patterns, streaming, ETL/ELT, governance and analytics platforms.
• Preferred: AI and GenAI enablement, MLOps, Infrastructure as Code, DataOps, SRE, observability, automation and cloud cost optimization.

Kyndryl offers a hybrid-friendly culture, career development tools, personalized goals, continuous feedback and learning opportunities including certifications with Microsoft, Google and Amazon.