Kyndryl
AgenticAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Agentic AI Engineer at Kyndryl. Skills: Agentic AI, AI agents, Application modernization, Cloud migration. Design agentic AI systems. Implement agentic AI systems”
Industry & Context.
Reasoning; Planning
What They're Looking For.
Must Have
Bachelor's or master's degree, 10 + years of experience in application development, Experience in AI engineering, Experience with agentic systems, Experience with autonomous workflows, Deep understanding of application migration strategies, Experience having built and leveraged AI for software development, Proficiency in cloud-native development, Proficiency in infrastructure-as-code, Experience building autonomous agents, Experience with LLMs, Experience with reinforcement learning, Experience with multi-agent systems, Programming skills in Python, Programming skills in Java
Nice to Have
Experience with modern application development, Experience with legacy application development, Experience in Legacy modernization assessments, Good understanding of Legacy technologies, Experience in reverse engineering of legacy source, Certifications in cloud architecture, Certifications in Agentic AI, Familiarity with enterprise platforms, Familiarity with legacy modernization tools, Experience developing ML Models, Knowledge of data lake architectures, Knowledge of ETL pipelines, Exposure to compliance frameworks, Exposure to secure migration practices, QA or Testing experience
What You'll Do.
Design agentic AI systems
Implement agentic AI systems
Develop intelligent workflows
Refactor monolithic systems
Integrate AI agents with cloud platforms
Orchestrate infrastructure provisioning
Orchestrate data migration
Orchestrate validation
Build reasoning engines
Optimize migration paths
Align AI-driven modernization
Build custom AI agents
Solve tactical customer problems
Apply graph reasoning
Accelerate decision-making
Monitor agent performance
Evaluate prototypical agents
How You'll Work.
Team & Collaboration
Architects; DevOps; Business stakeholders
Full Job Description
**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. * 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. **Your Future at Kyndryl** Every position at Kyndryl is an opportunity to be part of something bigger. We’re committed to your growth and development—because when
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