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
At Kyndryl, we are looking for a senior AI Architect (AI Agentic) to lead the design of Generative and Agentic AI architectures that drive efficiency and transformation across delivery teams. This role sits at the intersection of business, technology, and innovation, providing architectural coherence and strategic direction across multiple teams and accounts.
You will act as a technical authority and trusted advisor, helping Kyndryl scale AI adoption in a responsible, sustainable, and impactful way.
Key responsibilities
Design and evolution of end-to-end AI and Agentic AI architectures that enable innovation at enterprise scale.
Shape Kyndryl's strategy, translating objectives into coherent, high-impact architectures.
Act as a technical authority, ensuring quality, scalability, and security are embedded into every solution.
Guide multidisciplinary teams — from data scientists to engineers — toward architectural excellence and delivery of real business value.
Bridge the gap between business strategy and technology, ensuring every initiative aligns with both innovation and operational goals.
Foster a culture of technical rigor, creativity, and responsible AI, where emerging technologies are tested, adopted, and turned into value.
Act as a technical reference and decision-maker, aligning stakeholders and guiding architectural choices.
Who You Are
Essential Qualifications
- 7+ years of experience designing and delivering large-scale AI or ML architectures in complex enterprise environments.
- Proven experience building and governing end‑to‑end AI systems, including production deployment.
- Deep knowledge of AI and ML architectures, cloud-native solutions, and/or distributed systems.
- Familiarity with multi-agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK) and RAG architectures (LangChain, LlamaIndex).
- Knowledge in at least one major cloud provider (Azure, AWS, GCP) and associated AI platforms (e.g., Azure ML, Vertex AI, OpenShift AI, Databricks).
- Solid understanding of MLOps frameworks (MLflow, Kubeflow, Airflow).
- Demonstrated leadership skills, with the ability to drive architectural direction and influence cross-functional technical teams.
Education & Certifications
- Bachelor’s or Master’s degree in Computer Engineering, Artificial Intelligence, Data Science, or related technical field.
Preferred Skills
- Exposure to edge AI or on-premise AI deployments in regulated industries.
- Strong presentation and storytelling skills to articulate architectural visions to both technical and executive audiences.
- Advanced studies (Master’s or PhD) in AI, Machine Learning, or Cloud Architecture are highly valued.
- Professional certifications in cloud architectures (Azure, AWS, or GCP) and MLOps frameworks are a strong plus.
- Continuous learning mindset with proven commitment to staying current on emerging AI and Agentic AI technologies.
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
- 7+ years of experience designing and delivering large-scale AI or ML architectures in complex enterprise environments
- Proven experience building and governing end-to-end AI systems, including production deployment
- Deep knowledge of AI and ML architectures, cloud-native solutions, and/or distributed systems
- Familiarity with multi-agent frameworks and RAG architectures
- Knowledge in at least one major cloud provider and associated AI platforms
- Solid understanding of MLOps frameworks
- Demonstrated leadership skills to drive architectural direction
- Bachelor's or Master's degree in Computer Engineering, Artificial Intelligence, Data Science, or related technical field
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.
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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.
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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.
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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.
