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
As an AI Platform Engineer, you will transform community best practices and lessons learned from real AI implementations into standardized platform services, SDKs, templates, developer journeys, architectural blueprints, and governance patterns that can be reused across domains. You will play a crucial role in building the foundation for scalable, secure, and compliant AI solutions within a highly regulated environment.
You are passionate about AI and platform engineering, with a strong focus on governance, security, and scalability. By understanding that strict compliance is critical for well-designed implementations in the banking sector, you will leverage your clear communication, collaborative nature, and goal-focused flexibility to reduce friction for engineering teams and drive enterprise-wide AI adoption.
What You Will Do
- Define and maintain AI architecture standards and reference architectures in line with enterprise guidelines for monitoring, networking, security-by-design, privacy, and auditability.
- Prototype emerging AI implementation patterns and translate them into standardized, reusable enterprise platform services.
- Design and develop shared AI capabilities, cross-cutting concerns (e.g., observability, access management), SDKs, templates, and reference implementations for ML, agentic AI, and AI systems.
- Collaborate with architecture, security, risk, and data governance teams to align platform capabilities with strict regulatory and compliance requirements.
- Shape, maintain, and implement the long-term AI developer experience (DevEx) to reduce friction for engineering teams building AI applications.
- Drive the adoption of Machine Learning and Artificial Intelligence As a Platform (MAAP) capabilities across various domains.
- Design scalable cloud-native solutions and implement CI/CD pipelines alongside advanced platform automation.
- Develop robust integrations between AI services, Azure Kubernetes Service (AKS), and other supporting platforms.
Your Future at Kyndryl
Becoming an AI Platform Engineer at Kyndryl is an excellent gateway to many different paths. You’ll be creating a well-rounded skillset while gaining professional certifications and qualifications. You can evolve horizontally into other technical or non-technical areas, or move vertically into senior leadership or specialized domain roles. There are many different types and flavors of roles at Kyndryl, so everyone can find the opportunity that suits them best.
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Skills and Experience
- Strong experience in platform engineering, AI/ML operationalization, and designing scalable cloud-native solutions.
- Hands-on expertise with Azure Services, Azure DevOps (Repositories/Pipelines), and continuous integration/continuous delivery (CI/CD) practices.
- Proficiency in containerization and orchestration technologies, specifically Docker and Azure Kubernetes Service (AKS).
- Deep understanding of governance, security-by-design, and compliance requirements, ideally within a banking or highly regulated environment.
- Experience building Software Development Kits (SDKs), AI accelerators, and reusable templates to enable development teams.
- Solid background working with modern data platforms and cataloging tools such as Databricks and Unity Catalog.
- Strong communication and collaboration skills to effectively align cross-functional teams (security, risk, data governance) on architectural standards.
Preferred Skills and Experience
- Familiarity with modern development environments and AI-assisted coding tools, such as VS Code with Copilot.
- Experience with security, artifact management, and vulnerability scanning tools like Nexus and Twistlock.
- Knowledge of emerging AI trends, including Agentic AI and complex ML system architectures.
- Previous experience defining or implementing Developer Experience (DevEx) strategies to reduce engineering friction.
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.
Skills Required
- Strong software engineering experience in Python, including design patterns, coding best practices, packaging, and publishing
- Systems engineering experience with Azure services, networking, and identity and access management using Entra ID
- Experience with DevOps practices, version control, CI/CD, automated testing, and deployment strategies
- Knowledge of reliability engineering, including observability, scalability, and availability on Kubernetes using Helm
- Experience with the machine learning lifecycle, including training, tracking, and serving
- Knowledge of MLOps and LLMOps
- Experience with generative AI, AI agents, retrieval-augmented generation, and prompt engineering
- Experience with AI evaluation tools such as Arize Phoenix or MLflow
- Experience with observability and monitoring tools such as Grafana, Prometheus, or Azure Monitor
- Awareness of AI security, governance, compliance, and architecture modeling
- Growth mindset, customer focus, collaboration, clear communication, and inclusive working style
Kyndryl Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.
-
Fair & Transparent Compensation — Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
-
Leave & Time Off Breadth — Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
-
Wellbeing & Lifestyle Benefits — Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.
Kyndryl Insights
What We Do
We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.
