Senior AI Deployment Engineer (Forward-Deployed)

Kyndryl

Wrocław

Hybrid

PLN 210,000 - 320,000

Full time

14 days+

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Benefits offered by this job

Private health card

Life insurance

Multisport Card

Be Well program

Hybrid-friendly culture

Professional development opportunities

Job summary

Kyndryl Poland is seeking a Senior Forward Deployed Engineer to collaborate with customers, solve complex AI deployment challenges, and drive tangible business value. You will blend deep engineering with consultative engagement, prototype and deploy AI solutions, and operate in a triad delivery model with engineering, consulting, and product teams.

This hybrid role emphasizes real-world AI outcomes over code, with opportunities to work on Generative AI, agent architectures, and enterprise

Qualifications

Bachelor’s degree in computer science, Engineering, or equivalent.
Hands-on experience with Python development and frontend UI technologies (TypeScript, React.js).
Hands-on experience building AI-based solutions using frameworks such as LangChain, Semantic Kernel, Google ADK or Microsoft Agent Framework.

Responsibilities

Build autonomous agents using LLMs, planning algorithms, and decision-making frameworks.
Implement agent architectures that support autonomy, interactivity, and task completion.
Integrate agents into applications, APIs, and workflows (e.g., copilots, chatbots, automation tools).
Connect agents to external services via APIs, databases, and cloud platforms.
Tune agent behavior using feedback loops, reinforcement learning, semantic knowledge layer 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, designing decisions, and dependencies.
Build and maintain the Enterprise Agents and Tools Registry for metadata and lifecycle management.
Implement 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, documenting 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.