Senior AI Architect — Enterprise Production Systems

IFS; Kraków; Hybrid; PLN 350,000 - 550,000; Full time

Benefits offered by this job

Hybrid work opportunities

Job summary

IFS seeks a Lead AI Engineer to design and build applied AI solutions that drive tangible business value from idea to scalable production. You will architect enterprise AI systems leveraging LLMs, RAG, and agentic workflows while guiding technical strategy and mentoring teams.

The role demands hands-on delivery, collaboration with product and customers, and ongoing evaluation, governance, and optimization of AI systems within a hybrid, global enterprise environment.

Qualifications

• 8+ years of professional AI/ML or software engineering experience.
• Experience delivering AI solutions to production with end-to-end lifecycle.
• Proficient in Python, Golang, C#, or TypeScript.
• Strong experience with context engineering: embeddings, vector databases, retrieval.
• Solid backend fundamentals: APIs, cloud-native, CI/CD, security.
• Knowledge of MLOps/LLMOps and IaC tools like Terraform, Helm.

Responsibilities

• Design and build AI-powered enterprise systems using LLMs and RAG.
• Lead technical design discussions and maintainable production platforms.
• Mentor engineers and develop reusable AI capabilities.
• Collaborate with product, customers, and partners to deliver impact.
• Shape AI strategy and engage with industry events.

Skills

Python

Golang

TypeScript

DevOps

MLOps

AI systems

Leadership

Communication

Education

Bachelor's in CS

Master's preferred

Tools

Terraform

Helm

Kubernetes

Docker

LangGraph

OpenAI

Azure

AWS

Job description

IFS seeks a Lead AI Engineer to design and build applied AI solutions that drive tangible business value from idea to scalable production. You will architect enterprise AI systems leveraging LLMs, RAG, and agentic workflows while guiding technical strategy and mentoring teams.

The role demands hands-on delivery, collaboration with product and customers, and ongoing evaluation, governance, and optimization of AI systems within a hybrid, global enterprise environment.