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Kyndryl

Lead Agentic & AI Architect

Reposted 2 Hours Ago
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In-Office
4 Locations
Senior level
In-Office
4 Locations
Senior level
Lead the design and evolution of AI architectures at Kyndryl, ensuring quality and scalability while driving innovation across multidisciplinary teams. Mentor professionals and align technology with business strategy for impactful solutions.
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Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.


The Role

We’re looking for exceptional talent to join our AI Agentic Innovation Hub at Kyndryl!
 

Job Description 

As Lead AI Architect at Kyndryl’s AI Innovation Hub, you’ll be at the core of one of the most ambitious and transformative technological initiatives — designing and guiding the technical architecture behind next-generation AI and Agentic AI global solutions. 
You’ll shape scalable, secure, and high-performance ecosystems that turn complex business goals into robust, enterprise-grade systems. Acting as both a visionary and a guardian of technical excellence, you’ll define the standards that drive reliability, innovation, and responsible AI across the Hub. 

This is a leadership role for those who combine architectural mastery with a builder’s mindset — who understand that great AI systems are not only powerful, but elegant, traceable, and sustainable. You will have the opportunity to work with the most advanced and powerful technologies, and to collaborate closely with some of the most recognized professionals like data scientists, ML engineers, and business leaders to create architectures that deliver measurable impact while pushing the boundaries of what’s possible in next-generation intelligent systems. 

Your Mission 

  • Lead the design and evolution of end-to-end AI and Agentic AI architectures that enable innovation at enterprise scale. 

  • Shape the Hub’s technical vision, translating strategic 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. 

  • Collaborate with leadership to define the technological roadmap of the Hub and ensure alignment with global best practices in AI engineering. 

  • Mentor and inspire others, creating an environment where ideas evolve into architectures that shape the future of enterprise AI. 


Who You Are

 

Essential Qualifications 

  • 7+ years of experience designing and delivering large-scale AI or ML architectures in complex enterprise environments. 

  • Proven ability to design and implement end-to-end AI ecosystems — from data pipelines and model training to deployment and monitoring. 

  • Deep knowledge of AI and ML architectures, cloud-native solutions, and/ordistributed systems. 

  • Expertise 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) and container orchestration (Kubernetes, Docker). 

  • Familiarity with multi-agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK) and RAG architectures (LangChain, LlamaIndex). 

  • 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. 

  • 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. 

Preferred Skills 

  • Experience designing hybrid or federated architectures integrating LLMs, APIs, and enterprise data sources. 

  • Knowledge of observability, monitoring, and FinOps best practices in AI workloads. 

  • Hands-on experience with vector databases, semantic search, or LLM optimization techniques. 

  • Exposure to edge AI or on-premise AI deployments in regulated industries. 

  • Strong foundation in data governance, security, and regulatory compliance (GDPR, EU AI Act, Responsible AI principles). 

  • Strong presentation and storytelling skills to articulate architectural visions to both technical and executive audiences. 

  • Passion for exploring emerging AI technologies, assessing their maturity, and driving their adoption in real-world scenarios. 

  • Proven track record mentoring teams and fostering a culture of innovation, collaboration, and technical excellence. 

  • Experience leading multidisciplinary technical teams, ensuring alignment between innovation, performance, and compliance. 

  • Knowledge of Responsible AI frameworks, data governance, and AI observability. 

Soft Skills 

  • Strong communication and synthesis skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences. 

  • Translational mindset — capable of understanding functional and business needs and converting them into actionable, scalable technical solutions. 

  • Analytical and structured thinking, with a focus on solving complex problems through robust, pragmatic architectures. 

#AgenticAI


Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.


What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

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.

Top Skills

AI
Airflow
Autogen
AWS
Azure
Azure Ml
Crewai
Databricks
Docker
GCP
Google Adk
Kubeflow
Kubernetes
Langchain
Langgraph
Llamaindex
Ml
Mlflow
Openshift Ai
Vertex Ai

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