Key skills
AI engineeringAgentic AI systemsApplication developmentApplication migration strategiesAI for software developmentCloud-native developmentInfrastructure-as-codeTerraformPulumiAutonomous agents frameworksLang ChainSemantic KernelLarge language modelsReinforcement learningMulti-agent systemsPython programmingJava programmingPythonJavaAIMLAgenticETLData LakeDatabricksAWSAzureGCPServerlessOracleSAP
About this role
Kyndryl is a company that designs, builds, manages, and modernizes mission-critical technology systems. They are seeking an Agent Forward Engineer to lead the design and deployment of AI agents for application development and migration, helping customers optimize their legacy systems and transition to cloud-native architectures.
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
Requirements:
- 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
- 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