Associate Consultant in Network Platforms, Automation & AI Operations

What You Can Expect

Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.

From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.

The Role

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.

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.

Who You Are

• 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.
• 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.
• 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.
• 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, measurab