Modernization Engineer

Kyndryl deploys AI innovation with a focus on real-world impact. The role operates within a triad delivery model combining engineering, consulting, and product expertise. The position involves direct customer collaboration to solve complex AI deployment challenges and deliver tailored solutions.

• Bachelor's degree in Computer Science, Engineering, or equivalent.
• Hands-on experience with Python development and frontend UI technologies like TypeScript and React.js.
• Experience building AI solutions using AI frameworks such as LangChain, Microsoft Semantic Kernel, Google ADK, or Microsoft Agent Framework.
• Knowledge of LLMs, AI Agent architectures, and telemetry/observability frameworks (e.g., Langsmith, Langfuse, litellm).
• Expertise with Docker, Kubernetes, and at least one cloud platform (Azure, AWS, GCP) or on-premises.
• Experience in microservices-based architectures.
• Strong understanding of software delivery lifecycle, version control (Git, GitHub), and data engineering tools such as Pandas and Spark.
• Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.
• Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders.
• Hands-on experience with SQL (e.g., PostgreSQL), NoSQL (e.g., MongoDB), and vector databases.
• Proficiency in CI/CD tools (e.g., GitHub Actions), automated testing, and observability.
• Familiarity with agent-based modeling, multi-agent systems, or reinforcement learning.
• Proficiency in API development, backend services, and cloud platforms.
• Practical knowledge of deploying RAG architectures and integrating knowledge sources into AI solutions.
• Familiarity with open-source AI tools and libraries including Hugging Face.
• Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, AutoGen).
• Knowledge of system-level optimization and security best practices for scalable AI systems.
• Willingness to travel up to 25% globally.

• Build autonomous agents using LLMs, planning algorithms, and decision-making frameworks.
• Implement agent architectures supporting autonomy, interactivity, and task completion.
• Integrate agents into applications, APIs, and workflows such as copilots and chatbots.
• Connect agents to external services via APIs, databases, and cloud platforms.
• Tune agent behavior using feedback loops, reinforcement learning, semantic knowledge layers, and user interaction.
• Monitor performance and implement safety, reliability, and guardrail mechanisms.
• Work cross-functionally with researchers, engineers, and product teams.
• Maintain clear documentation of agent logic, design decisions, and dependencies.
• Build and maintain the Enterprise Agents and Tools Registry for metadata and lifecycle management.
• Implement Agent Communication Gateway with security, rate limits, observability, and cost controls.
• Ensure agent-level security including authentication, authorization, and data protection.
• Optimize cost, scalability, performance, and reliability across cloud and on-prem environments.
• Deploy and customize agentic AI platforms such as LLM agents and orchestration frameworks.
• Integrate AI systems with enterprise APIs, data platforms, and workflows.
• Solve technical blockers in data ingestion, model deployment, and agent behavior.
• Design and refine prompts for clarity, compliance, and contextual accuracy.
• Translate business logic into agentic workflows and task trees.
• Implement observability tools to ensure reliability, latency, and trustworthiness.
• Maintain performance metrics and feedback loops for continuous improvement.
• Build and iterate custom AI solutions leveraging agentic AI frameworks.
• Own delivery end to end from scoping to production, working as part of customer teams.
• Contribute to the evolution of Kyndryl's AI platforms through feedback and code contributions.
• Engage in customer partnerships to translate business challenges into quality technical solutions.
• Troubleshoot and enhance system performance, scalability, and reliability.
• Capture deployment learnings, document best practices, and share insights for platform enhancement.
• Pursue continuous learning and adapt to emerging technologies and evolving customer requirements.

Please be informed that the data controller is Kyndryl (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Just Join IT service and other entities to whom we have entrusted the processing of data in connection with recruitment.