Modernization Engineer

Job Description

At Kyndryl, we deploy AI innovation where it creates the greatest real-world impact. As a Senior Forward Deployed Engineer, you will collaborate directly with customers to solve complex challenges, shaping solutions that redefine industries. You will be empowered to work at speed, supported by a global AI ecosystem, and play a pivotal role in delivering outcomes that matter. This position operates within our triad delivery model, where engineering, consulting, and product expertise come together to drive transformative results for customers.

This is not traditional consulting or pure software engineering; it is a hybrid role designed for the complexities of real-world AI deployment, with accountability for outcomes not just code.

You will blend deep engineering expertise with consultative engagement to deliver tailored solutions that drive measurable business value. Operating in dynamic environments and working closely with customer teams - often on-site - you will scope, prototype, and deploy solutions at pace. Technologies include Generative AI, Agentic AI architectures, and multi-agent ecosystems, with insights continually fed back into Kyndryl’s platforms and frameworks to accelerate future deployments.

If you are motivated by solving complex problems, excel in direct customer engagement, and aspire to shape the future of enterprise AI, this role is designed for you.

Key Responsibilities

• Building autonomous agents using LLMs, planning algorithms, and decision-making frameworks.

• Implementing agent architectures that support autonomy, interactivity, and task completion.

• Integrating agents into applications, APIs, and workflows (e.g., copilots, chatbots, automation tools).

• Connecting agents to external services via APIs, databases, and cloud platforms.

• Tuning agent behavior using feedback loops, reinforcement learning, semantic knowledge layer and user interaction.

• Monitoring performance and implementing safety, reliability, and guardrail mechanisms.

• Working cross-functionally with researchers, engineers, and product teams.

• Maintaining clear documentation of agent logic, designing decisions, and dependencies.

• Building and maintaining the Enterprise Agents and Tools Registry for metadata and lifecycle management.

• Implementing the Agent Communication Gateway with robust security, rate limits, observability, and cost controls.

• Familiarity with AI Agent orchestration patterns and workflow orchestration engines (e.g., Temporal, Airflow, etc.).

• Ensuring agent-level security, including authentication, authorization, and data protection.

• Optimizing cost, scalability, performance, and reliability of agent operations across cloud and on-prem environments.

• Familiarity with knowledge graphs for agent reasoning and data integration.

• Deploying and customizing agentic AI platforms (e.g., LLM agents, orchestration frameworks).

• Integrating AI systems with enterprise APIs, data platforms, and workflows.

• Solving technical blockers across data ingestion, model deployment, and agent behavior.

• Designing and refining prompts to ensure clarity, compliance, and contextual accuracy.

• Translating business logic into agentic workflows and task trees.

• Tuning agent behavior to align with real-world expectations.

• Implementing observability tools to ensure reliability, latency, and trustworthiness.

• Maintaining performance metrics and feedback loops for continuous improvement.

• Building and iterating custom AI solutions tailored to customer needs, leveraging agentic AI frameworks

• Owning delivery end to end, from scoping to production. Working as part of the customer team to engineer and deploy production-ready solutions that drive adoption and measurable business outcomes.

• Actively contributing to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product team

• Customer Engagement & Solution Integrity: Partnering with customers to understand business challenges and translating them into high‑quality, fit‑for‑purpose technical solutions, prioritizing the right outcome over the fastest one. 

• Optimization: Troubleshooting and enhancing system performance, scalability, and reliability. 

• Field Intelligence: Systematically capturing deployment learnings, document best practices, and proactively sharing insights to inform enhancements to Kyndryl’s core platforms and frameworks. 

• Continuous Learning: Adapting quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development. 

Your future at Kyndryl
This role opens the door to many career paths, both vertical and horizontal, and there may be opportunity to travel. It’s a great chance for database administrators or other techs to break into the cloud. It’s also a solid path to become enterprise or chief architect or a distinguished engineer! Whatever you see for yourself, you’ll find the opportunity here.

Benefits for you
In joining Kyndryl Poland you will work for a diverse company that invests in your future and join a team culture that amplifies learning, and development agility.

Kyndryl has a flexible working policy. Depending on the position there are a number of options including some home working opportunities. These ensure a better balance and improved flexibility both inside and outside of work for you.

Plus, we offer many other cultural and environmental benefits to our employees. From an agile office space with games room, to team dinners and seasonal gifts. As well as Charity, ESG initiatives and focus groups, where our employees co-create our new company culture strongly based on their personal feedback and sentiments.

Our employees enjoy varying other options too: utilizing our BeWell Program (with online consultants in law, tax, life events, psychology, coaching); opting in for the Retirement pension plan and we have a Cafeteria platform, with Kyndryl benefits points.

Of course, you can also take advantage of other great offerings:

• Private health card

• Life insurance package

• Multisport Card

• Discounts for Kyndryl employees

• A wide range of benefit options for parents and children

• Sports activities and team events

• Free language courses & many personal development possibilities

• Employee referral program

• Mindfulness and Yoga Classes

These are just a part of the initiatives and opportunities available to you, as we continuously develop as an Employer of Choice.

We are looking forward to seeing you join us!
 

Information on how to report breaches of law at Kyndryl in connection with the Whistleblower Protection Act of June 14, 2024:

https://preview.kyndryl.com/pl/pl/company/whistleblower-global-services?cde

Job Qualifications

Job Qualifications

Required Skills and Experience
 

• Bachelor’s degree in computer science, Engineering, or equivalent.

• Hands-on experience with Python development and frontend UI technologies (e.g., TypeScript, React.js, etc.) to build demos/systems from scratch as a full stack engineer.

• Hands-on experience building AI based solutions using AI frameworks such as LangChain, Microsoft Semantic Kernel, Google ADK or Microsoft Agent Framework.

• Knowledge of LLMs, AI Agent architectures, Agent Telemetry/Observability frameworks (Langsmith, Langfuse, litellm etc).

• Expertise with Docker, Kubernetes, and at least one cloud platform (Azure, AWS, GCP) or on premises.

• Experience in microservices-based architectures.

• Solid grasp of the 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, including executive audiences.

• Hands-on experience with SQL (e.g., PostgreSQL), NoSQL (e.g., MongoDB), and vector databases for agent data storage, semantic queries and retrieval.

• Proficiency in CI/CD (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 (AWS, Azure, GCP).

• Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.

• Open-Source Ecosystems: Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories. 

• T-shaped Profile: Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting. 

• Agentic AI Systems: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms. 

• Performance & Security: Knowledge of system-level optimisation and security best practices for scalable AI systems. 

• Willingness to travel up to 25% globally. 

Why join us? 
You will become part of a team that values pace, autonomy, and tangible impact. At Kyndryl, you will have full visibility of the delivery lifecycle, with opportunities to lead engagements and shape strategic direction. Our triad delivery model means you will work alongside experts in engineering, product, and consulting, fostering continuous learning and innovation. Career progression is clearly defined, from Junior to Principal levels, with pathways to influence the evolution of our AI platforms. You will contribute directly to platform development and see the results of your work in real-world applications. If you are seeking an environment where your ideas are valued and execution drives results, this is the place to make a difference. 
If you want to work where innovation meets execution, apply now.