Agent Forward Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

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.
 

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.
• Concentrates on building and integrating custom AI agents to solve specific, tactical customer problems.
• Apply LLMs, graph reasoning, and 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.

#AgenticAI

Your Future at Kyndryl
As an Application Consultant at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts – presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

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 Skills and Experience

• 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.
• 10+ years of experience in application development.
• Deep understanding of application migration strategies (rehost, replatform, refactor, retire).
• Experience having built and leveraged AI for software development.
• Proficiency in cloud-native development and infrastructure-as-code (Terraform, Pulumi).
• Experience building autonomous agents using frameworks like Lang Chain, Semantic Kernel, or custom planners.
• Experience with LLMs, reinforcement learning, or multi-agent systems.
• Strong programming skills in Python, Java, or other modern languages.

Preferred Skills and Experience

• 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 co