Agentic AI Engineer

Job Posting Title

Agentic AI Engineer

Job Description Summary

Kyndryl is seeking a visionary Agentic AI Engineer to lead the design and deployment of AI agents, software that leverages them, and data that supports them. These agents will be used primarily in application development and application migration programs. You will build intelligent agents that reason, plan, and act across complex legacy environments, enabling scalable transformation to cloud-native architectures.

Job Description

Key Responsibilities

Design and implement agentic AI systems that automate discovery, assessment, and migration of legacy applications.

Develop intelligent workflows for refactoring monolithic systems into microservices or serverless architectures.

Integrate AI agents with cloud platforms (Azure, AWS, GCP) to orchestrate infrastructure provisioning, data migration, and validation.

Build reasoning engines that optimize migration paths based on cost, performance, and compliance.

Collaborate with architects, DevOps, and business stakeholders to align AI-driven modernization with enterprise goals.

Concentrateson building and integrating custom AI agents to solve specific, tactical customer problems.

Apply LLMs, graph reasoning, and autonomous planning to accelerate decision-making in migration scenarios.

Monitor agent performance, retrain models, and continuously improve autonomy and reliability.

Evaluate the effectiveness of prototypical agents through an understanding of both legacy and modern application development languages.

Your future at Kyndryl

There are lots of opportunities to gain certification and qualifications on the job, and youll continuously grow as a Cloud Hyperscaler. Many of our Infrastructure Specialists are on a path toward becoming either an Architect or Distinguished Engineer, and there are opportunities at every skill level to grow in either of these directions.

Job Qualifications

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 & Qualifications

Bachelor’s or master’s degree in computer science, AI, or related field.

Experience in AI engineering, with a focus on agentic systems or autonomous workflows.

5-10 years of experience in application development.

Deep understanding of application migration strategies (rehost, replatform, refactor, retire).

Proficiency in cloud-native development and infrastructure-as-code (Terraform, Pulumi).

Experience with LLMs, reinforcement learning, or multi-agent systems.

Strong programming skills in Python, Java, or other modern languages.

Preferred Qualifications

Experience building autonomous agents using frameworks like Lang Chain, Semantic Kernel, or custom planners.

Experience with both modern and legacy application development.

Experience in Legacy modernization assessments.

Good understanding of Legacy technologies (AS400, IBM Mainframe, HP Tandem, etc)

Experience in reverse engineering of legacy source to generate business requirements

Certifications in cloud architecture (e.g., Azure Architect Expert, AWS Solutions Architect), Agentic AI.

Familiarity with enterprise platforms (SAP, Infor, Oracle) and legacy modernization tools.

Experience developing ML Models

Knowledge of data lake architectures and ETL pipelines (e.g., Azure Data Factory, Databricks).

Exposure to compliance frameworks (GDPR, HIPAA) and secure migration practices.

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