Partially Remote
Full time
At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world’s leading businesses. with proven expertise and a continuous flow of AI‑powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. You’ll collaborate with architects, data scientists, ML engineers, software engineers, cloud specialists, security teams, and business stakeholders to design systems that combine technological excellence with measurable business value – systems that are not only intelligent, but also trustworthy, traceable, governable, and sustainable .
Define architecture patterns covering areas such as AI agents, foundation models, data platforms, APIs, integration layers, orchestration, observability, security, and cloud infrastructure .
Collaborate with cross‑functional teams to ensure solutions meet high standards of scalability, performance, resilience, security, and reliability.
Evaluate emerging technologies across the AI, Agentic AI, data, automation, and cloud ecosystems , identifying opportunities that can deliver tangible business value.
Ensure AI solutions integrate effectively with existing enterprise systems, data platforms, applications, APIs, and cloud environments .
Proven experience integrating AI models into production environments (APIs, microservices, or data pipelines).
~ Solid understanding of AI and ML architectures, including model lifecycle (data ingestion, training, validation, deployment).
~ Proficiency with cloud ecosystems (Azure, AWS, GCP) and their AI/ML services (e.g., Azure ML, Vertex AI, OpenShift AI).
~ Hands‑on experience with MLOps tools (MLflow, Kubeflow, Airflow) and container orchestration (Kubernetes, Docker).
~ Working knowledge of vector databases, APIs,



and integration patterns for intelligent systems.
~ Understanding of data privacy and regulatory frameworks (GDPR, EU AI Act, Responsible AI principles).

Bachelor's or Master's degree in Computer Engineering, Artificial Intelligence, Data Science, or related field.
Postgraduate studies (Master's or PhD) in AI, Big Data, or Cloud Computing are highly valued.
Certifications in cloud architecture (Azure, AWS, or GCP) and MLOps frameworks are a plus.
Knowledge of hybrid or federated AI deployments, integrating enterprise data and large language models.
Exposure to observability and monitoring practices in AI workloads.
Experience collaborating in agile or DevOps environments, bridging data science and engineering teams.
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. You won’t just contribute‑you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. 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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

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