Modernization Engineer
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
Your Role
At Kyndryl, we apply AI where it can deliver the greatest real-world impact. As a Modernization Engineer, you will work directly with customers to solve complex challenges and build solutions that can reshape industries. Supported by a global AI ecosystem, you will move quickly and play a central role in delivering meaningful outcomes through our integrated engineering, consulting, and product model.
This hybrid role goes beyond traditional consulting or software engineering. It is built for real-world AI deployment and emphasizes accountability for outcomes, not only code.
You will combine engineering depth with consultative skills to deliver tailored solutions that create measurable business value. Working closely with customer teams-often on-site-you will rapidly scope, prototype, and deploy generative AI, agentic AI, and multi-agent solutions. Lessons from each engagement will help strengthen Kyndryl's platforms and accelerate future deployments.
This role is ideal for someone who enjoys solving complex problems, working directly with customers, and shaping the future of enterprise AI.
What you will do
- Agent Design & Architecture:
Build, customize, and deploy autonomous agents using Kyndryl's Agentic Platform, LLMs, prompt design, knowledge graphs, and task trees to ensure high contextual accuracy. •
System Integration & Orchestration
Security, Governance & Gateway Management
Continuous Optimization & Observability
End-to-End Customer Delivery
Cross-Functional Collaboration & Field Intelligence
Your future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career, from Junior System Administrator to Architect. We have opportunities for Cloud Hyperscale's that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. One of the benefits of Kyndryl is that we work with clients in a variety of industries, from banking to retail. 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
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 Technical and Professional Expertise
- 3+ years of experience building AI solutions, multi-agent systems, and orchestration frameworks using LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Hands-on full-stack development experience using Python, React.js, and TypeScript, along with microservices architecture, back-end services, and RESTful API development.
- Proficiency in SQL (PostgreSQL), NoSQL (MongoDB), and vector databases, with practical experience deploying RAG architectures for structured and unstructured data.
- Strong background in Docker, Kubernetes, CI/CD pipelines (GitHub Actions), Git, and deployment across major cloud platforms (AWS, Azure, or GCP).
- Ability to translate complex business needs into technical solutions and effectively communicate their value to executive-level stakeholders.
Preferred Technical and Professional Experience
- Bachelor's degree in CS/Engineering (or equivalent)
- Experience implementing AI telemetry and monitoring tools such as LangSmith, Langfuse, and LiteLLM to track agent behavior, latency, and performance.
- Familiarity with data engineering libraries and distributed frameworks, including Pandas, Spark, and cloud-native AI platforms.
- Deep understanding of system performance tuning, scalability, security controls, and authentication protocols for enterprise AI operations.
- Familiarity with community-driven AI libraries, models, and repositories, including Hugging Face, fine-tuning workflows, and open-source models.
- Broad cross-functional exposure across AI/ML and cloud consulting, combined with deep technical specialization in core software delivery practices
Being You
Not included in the source posting: what you'll do, benefits.
Skills
Who can apply
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