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Kyndryl

Agent Forward Engineer

Kyndryl

Agentic AI Engineer focusing on designing and deploying AI systems for application development and migration. Leading AI-driven modernization initiatives with global impact.

Posted 6/10/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorLead💰 $115,080 - $218,520 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaMicroservicesPythonTerraform

About the role

Key responsibilities & impact
  • 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.
  • Concentrate 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • medical and dental coverage
  • disability
  • retirement benefits
  • paid leave
  • paid time off
  • discretionary annual bonus program

ATS Keywords

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Hard Skills & Tools
AI engineeringagentic systemsapplication migration strategiescloud-native developmentinfrastructure-as-codeprogramming in Pythonprogramming in Javabuilding autonomous agentsLLMsreinforcement learning
Soft Skills
collaborationcommunicationproblem-solvingdecision-makingcontinuous improvement
Certifications
Bachelor’s degree in computer scienceMaster’s degree in computer sciencedegree in AI