The opportunity

We're recruiting a Principal AI Engineer for the AI practice of a global advisory firm, based in Kyiv. The team designs, builds and deploys AI products and agentic platforms for large enterprises, combining strong software engineering with robust data engineering.

The role

You'll own the technical delivery of complex client engagements. You'll set architectural direction, lead multidisciplinary engineering teams and stay hands-on with the hardest technical problems.

What you'll do

Architecture: define end-to-end solution architectures for agentic AI platforms, applications and data pipelines, from application design and AI orchestration to APIs, security and deployment.
Delivery leadership: direct software, data and ML engineers across interconnected workstreams, resolve cross-workstream dependencies and production issues, and balance scalability, reliability, cost and maintainability.
Client advisory: act as a trusted technical advisor to senior client technology leaders, helping them choose implementation approaches and make pragmatic trade-offs.
Production readiness: make sure solutions are tested for performance, security, resilience and observability, and handed over cleanly so clients can run and extend them, including in regulated environments.
Standards and talent: shape engineering standards and reusable assets, and grow engineering talent through mentoring, technical reviews and knowledge transfer.

What you bring

Degree in Computer Science, Engineering, Mathematics or equivalent experience
7+ years building and deploying data solutions and software products, including ownership of complex, enterprise-grade AI or software delivery
Strong hands-on Python, with Scala or Java a plus
Experience with structured, semi-structured and unstructured data on distributed computing frameworks (e.g. Spark, Dask) and analytics libraries
Solid Docker and Kubernetes experience for scalable production systems
Experience running modern data and ML pipelines in production (e.g. PySpark, SQL, Airflow, Databricks, Kedro) on major cloud platforms
A track record taking complex enterprise solutions live, including observability, troubleshooting and operational handover
Exposure to ML frameworks (TensorFlow, PyTorch, Keras, Scikit-Learn) and familiarity with AI governance, safety and responsible AI practices
Demonstrated ability to advise senior stakeholders on architecture and mentor engineers

Logistics

Location: Kyiv
Competitive salary based on location, experience and skills, plus a comprehensive benefits package
Global team with colleagues across 65+ countries
Structured apprenticeship, coaching and development programmes