💰 Salary: $13,000-$15,000/month
🌎 Hybrid from Warsaw, Poland
🕦 Full-time position, long-term
☑️ Contract of Employment

We are looking for a Director of AI to join our client, a technology company that builds AI-powered platforms and consulting solutions for enterprise operations, with a strong focus on the private capital sector. The company has over ten years of experience working with high-growth and PE-backed businesses, combining deep domain expertise with advanced technology to drive measurable results.

In this role, the focus will be on leading the architecture, development, and production deployment of AI and machine learning systems, covering both large language model applications and traditional ML approaches. Close collaboration with data science, engineering, and product teams is expected to deliver scalable, high-performance AI-powered products.

Requirements

Demonstrated track record of architecting and shipping AI/ML systems in production environments
Deep hands-on expertise with large language models (GPT, BERT, LLaMA, or equivalent) alongside classical ML techniques
Strong Python proficiency and working fluency with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and MLOps tooling
Solid understanding of data engineering fundamentals, including SQL and NoSQL databases
Ability to distill complex AI concepts into clear, non-technical communication for stakeholders
Experience providing technical mentorship and architectural guidance to engineering teams
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related discipline

Responsibilities

Architect and build end-to-end AI/ML systems, spanning LLM-based and traditional ML pipelines
Tune and optimize models for production-grade scalability, latency, and cost efficiency
Evaluate and integrate new AI technologies, frameworks, and tooling as the field evolves
Partner with data engineering to design and maintain robust data pipelines for training and inference
Align AI system design with business goals and broader product strategy
Establish and enforce best practices around AI governance, model monitoring, and lifecycle management
Act as the organization's primary AI advocate, communicating the strategic value of AI-driven solutions to leadership and cross-functional stakeholders
Build a culture of experimentation and continuous learning within AI/ML teams

Director of AI

DevsData LLC