getSummary
Written in English from the original postingAcuity Analytics is seeking an experienced Lead Data Engineer or Data and AI Platform Architect for AI document processing in a regulated enterprise environment. The role focuses on data architecture, Azure/DevOps, Python, Databricks, Spark, and LLM orchestration, operations, testing, and monitoring. It also includes aligning platform teams to manage delivery and dependencies.
Job description
About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organizations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We are looking for an experienced Data Engineer to join a team that handles document processing in a large enterprise, regulated environment. You will align several platform teams to ensure timely delivery and dependency management.
Required skills
Solid data architecture skills
Solid Cloud/DevOps skills (Azure dominant environment)
Expert level skills in Python, Databricks and Spark
Experience in AI-ready document processing experience
Experience with LLM orchestration, operations and building of test and monitoring of LLM outputs, ideally with Azure OpenAI interface
Nice to have skills
Azure Document Intelligence
Databricks Workflows & Asset Bundles
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.
If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.
For more details about Acuity Analytics please see here: Read here.
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