Customer Technical Solutions Engineer

Kyndryl Inc.; Oregon; Hybrid; USD 156,000 - 297,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Kyndryl seeks a Customer Technical Solution Engineer to lead the architecture, prototyping, and delivery of high-value enterprise solutions. You will work with customer executives and engineering teams, bridging strategic design with hands-on implementation.

You will build, validate, and iterate on AI-enabled workflows and cloud integrations, while ensuring security, scalability, and operational readiness across engagements.

Qualifications

• Proven ability to design and build technical solutions based on customer requirements.
• Hands-on engineering experience using Python, Linux, REST APIs, and systems integration.
• Practical experience with container technologies and container orchestration using Docker and Kubernetes.
• Experience with AI-enabled workflows, generative AI solution patterns, or agentic automation architectures.
• Excellent customer relationship and presentation skills for executive stakeholders.

Responsibilities

• Solution Discovery and Architecture: translate business problems into architectural hypotheses and measurable outcomes.
• Hands-On Prototyping and Engineering: build systems, prototypes, MVPs, and value proofs.
• Commercial Solutioning and Risk Management: define scope, plans, and cost cases; identify risks.
• Production Deployment and Industrialization: support deployment, validate integrations in production, capture lessons.

Skills

Solution architecture

Hands-on engineer

Python

Linux

REST APIs

Docker

Kubernetes

AI-enabled workflows

Customer communication

Pre-sales support

Tools

Git / GitHub

Job description

Kyndryl seeks a Customer Technical Solution Engineer to lead the architecture, prototyping, and delivery of high-value enterprise solutions. You will work with customer executives and engineering teams, bridging strategic design with hands-on implementation.

You will build, validate, and iterate on AI-enabled workflows and cloud integrations, while ensuring security, scalability, and operational readiness across engagements.