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 Key Responsibilities Design implement and optimize MLOps AI Ops architectures supporting scalable AI ML solutions Build and manage cloud-native infrastructure using Azure Kubernetes Docker Terraform and CI CD pipelines Lead end-to-end AI ML lifecycle operations including data ingestion model training versioning deployment and monitoring Implement and manage agent model registries automated deployment workflows and model monitoring systems Drive AI Ops capabilities including prompt lifecycle management RAG pipeline optimization semantic search enhancements vector database integration and LLM observability Establish robust monitoring alerting and performance tuning practices for large-scale production systems Collaborate with data engineering teams to ensure efficient data pipelines and infrastructure alignment Ensure high standards of security governance and reliability across ML AI systems Implement security best practices such as IAM secrets management policy-as-code drift detection and audit trails Optimize production systems for autoscaling resiliency and cost efficiency Evaluate emerging technologies and recommend enhancements to the AI ML platform Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career We have opportunities that you won t find anywhere else including hands-on experience learning opportunities and the chance to certify in all four major platforms Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector you can find your opportunity here Who You Are 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 Expertise 12 years of overall experience with strong expertise in MLOps AI Ops and cloud infrastructure Hands-on experience with Kubernetes Docker Terraform Azure cloud and CI CD pipelines Strong understanding of the full AI ML lifecycle including data engineering model development deployment monitoring and retraining Experience with LLM lifecycle prompt management RAG frameworks vector databases semantic caching and observability tools Solid understanding of infrastructure-as-code automation and cloud-native architectures Knowledge of IAM secrets management security policies audit logging and compliance frameworks Proven ability in performance tuning autoscaling and managing large-scale distributed systems Excellent communication collaboration and leadership skills Good to Have Experience with reliability engineering SRE practices and cost-optimization strategies Exposure to monitoring tools and frameworks for AI ML observability Certifications in Azure Kubernetes DevOps or AI ML Education Bachelor s or Master s degree in Computer Science Engineering or a related field 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 recent 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