azure databricks

AI and Integration Architect

posted by: spj_bot

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.


This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems.

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Informatics Architect

posted by: spj_bot

The VHA HEFP Special Engineering Program (SEP) manages nationally prioritized, high-impact capital initiatives, including the Electronic Health Record Modernization, Facility Recapitalization, and Targeted Infrastructure programs. SEP establishes national priorities to ensure consistent, enterprise-wide alignment and execution. Gritter Francona is looking for an Informatics Architect/Business Intelligence Developer to support this potential project.

Key Responsibilities and key experience:

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Data Engineer - Azure (Scala/Kafka)

posted by: spj_bot

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are expanding our Data Engineering practice and looking for Sr. Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

This is a remote role for applicants based in USA.

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