Kyndryl

AI Forward Deployed Engineer

Poland · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerKyndryl
  • LocationPoland
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

Your role

At Kyndryl, we deploy AI innovation where it creates the greatest real-world impact. As an AI Forward Deployed Engineer, you will collaborate directly with customers to solve complex challenges, shaping solutions that redefine industries. Working within our triad delivery model - where engineering, consulting, and product expertise come together - you will operate in dynamic environments to scope, prototype, and deploy production-ready AI solutions at pace.

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This is a hybrid role designed for the complexities of enterprise AI deployment, blending deep backend engineering with client-facing consultative engagements to deliver measurable business outcomes. Insights gained in the field will continuously feed back into Kyndryl’s core platforms to accelerate future deployments.

What you will do

  • Collaborate directly with customer teams on-site and remotely to own end-to-end delivery from scoping to production deployment.
  • Design, build, and deploy autonomous AI agents, multi-agent systems, and workflow orchestration engines into enterprise APIs and applications.
  • Develop and maintain core agent architecture components, including Enterprise Agent Registries, Communication Gateways, and semantic knowledge layers.
  • Implement AI telemetry, observability, and evaluation mechanisms using tools such as LangSmith and Langfuse to monitor latency, performance, and trustworthiness.
  • Establish enterprise guardrails, agent-level security, authentication, data protection, and cost/scalability optimization across cloud and on-premises environments.
  • Solve complex technical blockers across data ingestion, prompt engineering, fine-tuning, and real-world system performance.
  • Systematically capture deployment learnings, best practices, and code contributions to inform enhancements to Kyndryl’s core AI platform ecosystem.

Your future at Kyndryl

This role opens doors to versatile career paths across engineering, architecture, and technical leadership. It serves as a solid foundation to progress into roles such as Enterprise Architect, Chief Architect, or Distinguished Engineer. Wherever you see your future, you will find continuous opportunities for growth and impact at Kyndryl.

Who You Are

Required skills and experience

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • Strong hands-on experience in Python development, microservices, backend API design, and core software delivery practices (Git, CI/CD).
  • Proven experience building production AI/LLM-based solutions and multi-agent systems using frameworks like LangChain, LangGraph, Microsoft Agent Framework, or Google ADK.
  • Strong understanding of core AI architecture concepts, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, tool/function calling, prompt engineering, and agent orchestration.
  • Practical experience with containerization and cloud platforms (Docker, Kubernetes, Azure, AWS, or GCP).
  • Experience with AI observability, evaluation, and telemetry frameworks (e.g., LangSmith, Langfuse, LiteLLM).
  • Demonstrated understanding of AI safety, guardrails, data protection, and performance/cost optimization for enterprise AI systems.
  • Ability to translate business requirements into technical architectures and communicate technical value effectively to both technical and executive stakeholders (willingness to travel up to 25%).

Preferred skills and experience

  • Familiarity with data engineering tools and open-source AI ecosystems (e.g., Pandas, Spark/PySpark, Hugging Face).
  • Experience with model fine-tuning, inference optimization, reinforcement learning, or advanced machine learning techniques.
  • Experience designing enterprise-scale AI platforms, reusable agent frameworks, and SQL/NoSQL/Vector database architectures (e.g., PostgreSQL, MongoDB).
  • T-shaped profile combining deep technical execution with a broad understanding across AI/ML, cloud infrastructure, and enterprise architecture.

What you can expect

In joining Kyndryl Poland, you will join a culture that amplifies learning, agility, and inclusion. We offer a flexible working policy, including hybrid/home-working opportunities to support a healthy work-life balance.

Key benefits include:

  • Private health coverage, life insurance, and MultiSport card
  • Employee assistance programs (BeWell platform covering legal, psychological, and financial consultation)
  • Cafeteria benefit platform and pension plans
  • Free language courses and structured continuous learning programs
  • Vibrant office space with game rooms, team events, and social initiatives

Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python AWS GCP Azure Kubernetes Docker Spark PostgreSQL Machine learning LLM

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