Staff Engineer – Data/AI Platform Engineering

<div class="content-intro"><p class="cgHgbA nxe3IQ Xp24Nw PanoWQ"><span class="OYPEnA">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.</span></p> <p class="cgHgbA nxe3IQ Xp24Nw"><span class="OYPEnA">Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.</span></p> <p class="cgHgbA nxe3IQ Xp24Nw"><span class="OYPEnA">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. </span><span class="OYPEnA">Over 10,000 customers trust ABBYY, </span><span class="OYPEnA">including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as </span><span class="OYPEnA">DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.</span></p></div><p><strong><span data-contrast="auto">About the Role</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":2,"335559740":300}"> </span></p> <p><span data-contrast="auto">As a </span><span data-contrast="auto">Staff Engineer – Data / AI Platform Engineering</span><span data-contrast="auto"> at ABBYY, you will define and drive the architecture of large-scale data and AI platforms that power intelligent automation solutions.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":2,"335559740":300}"> </span></p> <p><span data-contrast="auto">This is a hands-on technical leadership role responsible for designing </span><span data-contrast="auto">scalable, secure, and production-grade data and ML systems</span><span data-contrast="auto">, while influencing architecture and best practices across multiple teams. You will operate at the intersection of </span><span data-contrast="auto">data engineering, platform engineering, and applied AI</span><span data-contrast="auto">, enabling reliable and compliant machine learning capabilities at scale.</span><span data-ccp-props="{&