About the job
At GoodData, we are transforming data analytics for the AI era. Our mission focuses on integrating AI as a key component of the GoodData platform, ensuring it is not merely an add-on but a fundamental aspect of our offering.
We are seeking a Senior AI Architect to spearhead this initiative. In this pivotal role within our technical leadership team, you will help us stay ahead of the evolving AI landscape.
This position goes beyond traditional enterprise architecture; it requires a visionary who views architecture as a dynamic system, embraces rapid experimentation, and is committed to delivering results.
Key Responsibilities
Engage actively in hands-on development: prototype, implement, refactor, guide, and assist others as necessary.
Critically evaluate existing assumptions that no longer hold up under scaling.
Lead and influence the architecture of AI-driven features within the GoodData platform.
Design adaptable, evolvable, and resilient systems that thrive in uncertainty rather than false stability.
Steer the technical direction and decision-making processes within the AI team.
Work across the technology stack, with a strong focus on backend development while maintaining front-end awareness.
Translate AI advancements into practical, deployable product solutions.
Mentor senior engineers to elevate the overall technical capabilities of the team.
Your Profile
Demonstrate a strong sense of ownership; you proactively identify and resolve challenges.
Exhibit a pragmatic, results-oriented, and execution-focused mindset.
Approach AI as an integral part of workflows, considering factors like probabilistic systems, model limitations, and human-in-the-loop design.
Be enthusiastic about testing emerging AI trends and evaluating their practical impact in production environments.
Be comfortable designing systems where deterministic outcomes are optional.
Possess strong backend engineering skills (Python, Langfuse, Qdrant, MCP, Deepeval, PyTorch, etc.) with a solid understanding of frontend principles.
Have experience in designing distributed systems, APIs, service boundaries, and scalable, observable platforms.

