Network Automation & AI Consultant
Kyndryl · Madrid, Spain
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
About the role
At Kyndryl, we are looking for a Network Platforms, Automation & AI Operations consultant to help shape, industrialize, and deliver the next generation of enterprise network modernization capabilities.
This role is both a client-facing transformation role and a capability-building / software-building role. The successful candidate will help Kyndryl design, build, and scale modernization programs that combine network architecture, software engineering, cloud-native platforms, automation, observability, data engineering, AIOps, and AI-enabled operations.
You will work with large-scale enterprise environments, helping customers evolve from traditional network operations to more software-driven, observable, automated, data-informed, and resilient operating models. This includes defining architectures, roadmaps, reusable assets, delivery accelerators, and platform capabilities that improve reliability, reduce operational effort, accelerate incident resolution, and increase service quality.
A key part of the role will be to design and develop reusable software components for network modernization, including automation services, API integrations, data ingestion pipelines, observability connectors, AI-enabled operational workflows, copilots, agentic AI components, and reusable accelerators that can be industrialized across multiple clients and engagements.
The role requires a strong foundation in enterprise networking, but it is equally important that the candidate brings a strong engineering mindset and hands-on experience across software development, APIs, automation, data pipelines, cloud platforms, Kubernetes/container platforms, DevOps practices, agile delivery, and AI-enabled operational use cases.
You will act as a trusted advisor to client stakeholders while also building reusable capabilities for Kyndryl, including assessment frameworks, reference architectures, automation blueprints, observability models, data/AI integration patterns, agentic AI use cases, demos, playbooks, reusable code components, and delivery methodologies.
Responsibilities
Network Platforms & Enterprise Architecture
- Design and deliver modern enterprise network architectures across data center, campus, WAN, cloud, and edge environments.
- Translate business, application, and operational requirements into scalable, secure, observable, and automated network platform designs.
- Support the modernization of traditional network environments through software-defined networking, cloud networking, segmentation, resilience, and platform-based operating models.
- Integrate network platforms with cloud services, security platforms, ITSM tools, observability solutions, and automation/orchestration frameworks.
- Provide technical leadership in complex client environments, ensuring that network modernization initiatives are aligned with business outcomes, operational requirements, and long-term scalability.
Software Engineering, Automation & Cloud-Native Platforms
- Design and develop reusable software components to support network modernization and AI-enabled operations.
- Build automation services, APIs, connectors, workflows, and integration components using modern software engineering practices.
- Develop Infrastructure as Code and automation frameworks for network lifecycle management, configuration, compliance, validation, and remediation.
- Contribute to cloud-native platform designs using containers, Kubernetes, CI/CD pipelines, Git-based workflows, and DevOps practices.
- Industrialize reusable assets, code libraries, templates, and delivery accelerators that can be applied across multiple clients and engagements.
Observability, Data Engineering & AIOps
- Define observability frameworks for network operations, including telemetry, metrics, logs, events, flows, traces, correlation, and service-level indicators.
- Design and implement data ingestion, processing, and analytics pipelines to make network operational data usable for automation, analytics, and AI-enabled use cases.
- Integrate observability and AIOps platforms with network, cloud, security, and IT operations ecosystems.
- Develop use cases for anomaly detection, incident correlation, capacity forecasting, root cause analysis, service impact analysis, and operational decision support.
- Help customers evolve from reactive monitoring to more predictive, data-driven, and automated operational models.
AI Agents & Intelligent Operations
- Design and develop AI-enabled operational workflows, copilots, and agentic components for NetOps and NOC environments.
- Build or integrate agents capable of supporting tasks such as event triage, knowledge retrieval, incident enrichment, recommended remediation, change validation, and operational reporting.
- Define integration patterns between AI agents, observability platforms, automation tools, ITSM systems, knowledge bases, and network control interfaces.
- Support the responsible use of AI in network operations, including governance, human-in-the-loop controls, auditability, security, and operational risk management.
- Translate AI opportunities into practical, measurable, and production-oriented use cases for enterprise network operations.
Consulting, Delivery & Capability Building
- Lead or contribute to client assessments, technical workshops, architecture reviews, and transformation roadmaps.
- Support advisory, pre-sales, and solutioning activities, including technical proposals, solution narratives, effort estimation, and value articulation.
- Act as a trusted advisor to client stakeholders across network, infrastructure, operations, cloud, security, and application teams.
- Create reusable Kyndryl capabilities, including assessment frameworks, reference architectures, blueprints, demos, playbooks, delivery methodologies, and reusable software assets.
- Mentor and collaborate with engineers, architects, developers, data specialists, and operations teams to build a multidisciplinary delivery capability.
Who You Are
Job Qualifications
Mandatory
- Degree in Telecommunications Engineering, Computer Science, Software Engineering, Data Engineering, or equivalent professional experience.
- Strong experience in enterprise networking, network platforms, or network operations across complex environments such as data center, campus, WAN, cloud, or edge.
- Solid understanding of network architecture principles, including routing, switching, segmentation, resilience, security, hybrid connectivity, and operational models.
- Hands-on experience in software development and automation using technologies such as Python, APIs, Git, CI/CD pipelines, Ansible, Terraform, or similar tools.
- Experience designing or building reusable software components, automation workflows, integrations, connectors, scripts, services, or platform accelerators.
- Practical knowledge of cloud platforms and cloud-native technologies, including at least one major public cloud provider and exposure to containers, Kubernetes, or platform engineering practices.
- Understanding of observability and operations data, including telemetry, metrics, logs, events, monitoring, correlation, analytics, and service reliability concepts.
- Exposure to data engineering or analytics applied to IT/network operations, including data ingestion, transformation, dashboards, reporting, or AI-ready data pipelines.
- Understanding of AI-enabled operations, AIOps, or