Staff Engineer – Data/AI Platform Engineering
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About the Role
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the Role
As a Staff Engineer – Data / AI Platform Engineering at ABBYY, you will define and drive the architecture of large-scale data and AI platforms that power intelligent automation solutions.
This is a hands-on technical leadership role responsible for designing scalable, secure, and production-grade data and ML systems, while influencing architecture and best practices across multiple teams. You will operate at the intersection of data engineering, platform engineering, and applied AI, enabling reliable and compliant machine learning capabilities at scale.
Key Responsibilities
Architecture & Platform Strategy
- Define and own the architecture of enterprise data platforms spanning data lakes, document management systems (DMS), and AI pipelines
- Lead the design and implementation of scalable, secure, and compliant data systems
- Drive platform strategy across data ingestion, storage, processing, and access layers
- Influence cross-team technical decisions and platform direction
Data Governance & Compliance
- Establish best practices for data governance, cataloging, lineage, and compliance (e.g., Microsoft Purview)
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