Data & AI Specialist

Kyndryl

AI & Data Engineer building and operationalizing data and AI solutions for Kyndryl. Collaborating with cross-functional teams and utilizing cloud-native technologies for scalable implementations.

Posted 5/27/2026full-time🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonRust

About the role

Key responsibilities & impact

Build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems.
Develop and maintain data pipelines and AI-enabled services using cloud-native technologies.
Implement and integrate machine learning and LLM-powered solutions within enterprise workflows.
Contribute to real-time and batch data architectures.
Support MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.
Collaborate with solution architects, data scientists, and software engineers to deliver MVPs and production solutions.
Build secure, scalable APIs and services for AI and data applications.
Contribute to containerized and orchestrated deployments (Docker, Kubernetes).

Requirements

What you’ll need

2–3 years of experience in data engineering, software engineering, or AI engineering roles.
Strong programming skills in Python; experience with C++, C#, or Rust is a plus.
Experience with cloud platforms (AWS, Azure, GCP) and cloud-native development.
Hands-on experience with data platforms (data lakes, data warehouses, streaming systems).
Familiarity with distributed systems, concurrency, and asynchronous programming.
Experience with containerization (Docker) and orchestration concepts.
Knowledge of API design, authentication, and secure execution environments.
Exposure to MLOps practices, model deployment, and monitoring.
Familiarity with LLMs, generative AI, and agentic AI concepts.

Benefits

Comp & perks

Flexible, supportive environment
Health insurance
Professional development opportunities
Be Well programs for financial, mental, physical, and social health

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringsoftware engineeringAI engineeringPythonC++C#RustMLOpsAPI designcontainerization

Soft Skills

collaborationcommunication