Network Automation & AI Consultant

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 applied AI use cases such as anomaly detection, incident correlation, knowledge retrieval, operational copilots, or automated remediation.
• Experience working in agile delivery models and DevOps-oriented environments.
• Strong consulting, communication, and stakeholder management skills, with the ability to work with technical teams and client decision-makers.
• Ability to translate technical capabilities into business outcomes such as reduced incidents, improved MTTR, better service quality, improved SLA compliance, and operational efficiency.
• Advanced English, written and spoken.

Preferred

• Experience with observability or AIOps platforms such as Dynatrace, Splunk, Elastic, Datadog, Grafana, or similar.
• Experience designing or developing AI agents, copilots, chat-based operational assistants, RAG solutions, or agentic workflows.
• Familiarity with LLM integration patterns, prompt engineering, vector databases, knowledge bases, AI governance, and human-in-the-loop operating models.
• Experience integrating network platforms with ITSM, CMDB, observability, automation, security, or cloud management platforms.
• Knowledge of SDN, intent-based networking, SASE/SSE, Zero Trust, cloud networking, or infrastructure-as-code-driven network operations.
• Experience with SRE practices, service-level objectives, error budgets, incident management, postmortems, and reliability engineering.
• Exposure to digital twin, simulation, lab automation, validation environments, or pre-production testing for network changes.
• Experience creating reusable assets such as reference architectures, blueprints, demos, playbooks, frameworks, or delivery accelerators.
• Certifications such as CCNP/CCIE, cloud certifications, Kubernetes certifications, DevOps certifications, or data/AI-related certifications.

Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

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.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.