Principal Data Architect, Forward Deployed Engineering

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.

Uniphore is The Business AI Company. We enable businesses to rapidly adopt, significantly transform, and immediately unlock value through AI. Inspired by the simplicity of consumer AI, and with a deep understanding of the scalability and security required for business, we provide a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge grounded in their own proprietary data.  Through our core principles of composable, sovereign, and secure AI, we are committed to unlocking AI’s potential as a transformative force for businesses — with openness, trust, and scalability unmatched by any other solution. Our Business AI Cloud (BAIC) is a complete AI platform to power the Agentic Enterprise: it unifies data, knowledge, models, and agents in a secure, composable stack, enabling business users to deploy AI agents instantly and IT leaders to scale trusted, enterprise-grade applications.  As Principal Data Architect within Forward Deployed Engineering, you are the senior-most data authority on our most complex customer engagements. You lead the data and knowledge foundations that power customer AI solutions on the Business AI Cloud, working directly with enterprise architects, data leaders, and FDE engineers.  What distinguishes this role is how the work gets done. Rather than hand-building every pipeline, you lead data discovery and transformation journeys through BAIC’s Data Agents — Data Discovery, Data Engineering, Data Analyst, and Data Orchestrator — compressing work that traditionally consumes months of an enterprise data program into a fraction of the time. Your judgment directs the agents: deciding what to profile, how to model, where to intervene, and when the output is trustworthy enough to build on.  On top of that accelerated foundation, you build what makes the platform valuable: knowledge semantic clusters, ontologies, and the semantic structures that ground BAIC agents in each customer’s proprietary business reality. Knowledge is the heart of this role. We are not a data migration practice — we meet customers where their data already lives and make it usable, governed, and intelligible to AI.  The role is hands-on and customer-facing across multiple concurrent deployments, but the scope is broader than any single engagement: you set the standards the wider FDE organization delivers against, act as the escalation point for the hardest data problems, mentor other architects and engineers, and turn field learnings into reusable patterns.

Agent-Led Data Discovery and Transformation. Lead customer data discovery, profiling, and transformation journeys using BAIC’s Data Agents — Data Discovery, Data Engineering, Data Analyst, and Data Orchestrator. Direct and supervise agent-driven work, review and correct generated models and pipelines, and establish the quality bar and human checkpoints that make accelerated delivery trustworthy at enterprise scale.  Knowledge Semantic Clusters, Ontologies, and Graphs. Design the knowledge layer that sits on top of discovered and transformed data: semantic clusters, enterprise ontologies, taxonomies, and knowledge graphs that unify entities, relationships, and business meaning across many source systems and knowledge bases. Ground BAIC agents in customer-specific business context using RDF/OWL and SPARQL, property-graph, or hybrid graph-and-vector approaches as the engagement requires.  Enterprise Data Architecture and