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6 days ago
Noida, Uttar Pradesh, India· Full-time
JavaScriptTypeScriptReactNode.js
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Salary not disclosed
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Role overview
Job description
We are hiring the architect who teaches AI what our business actually means. You will be a member of the AI Domain team, the group that owns the enterprise standards, reference architectures, approved model catalog, and governance safeguards for AI across the company. Within that team, you own the domain intelligence layer: the ontology, the agent workflow models, the fine-tuning strategy, and the intelligence pattern library that product teams build on. This is a hands-on senior individual contributor role. Patterns here are proven through working proof-of-concepts before they become standards, so you will build as much as you write. Responsibilities Platform ontology design • Design and own the canonical ontology as a semantic layer spanning all PrismHR platforms, anchored in the central PEO and HCM platforms — entities, relationships, business rules, and terminology covering co-employ
…About this listing
- Source: Distro's official careers site (via Lever) · last confirmed on the source 1 Nov 2026
- Posted 26 Oct 2026
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What they are looking for
Skills & requirements
Qualification
We are hiring for domain modeling judgment and practical AI engineering. Deep expertise in both is rare; strength in one and fluency in the other works. • Eight or more years building production software, including time at staff, principal, or architect scope where other teams depended on what you owned • Practical experience designing ontologies, knowledge graphs, or canonical domain models that shipped in production systems • Hands-on experience with LLM-based or agentic systems: you have built with them and know where they break • Experience with fine-tuning, RAG, or model evaluation pipelines, and clear judgment about which to reach for • Hands-on experience with Microsoft Foundry services, including model deployment, agent development, and its evaluation and safety tooling • Hands-on experience with Azure services more broadly, including the compute, data, identity, and networking building blocks AI workloads run on • Ability to take a pattern from concept through working proof-of-concept to published standard • A record of changing technical direction through influence rather than authority, across team boundaries • Clear writing. The ontology, patterns, and decision records
Department · Company-Wide
Hiring company
Distro
Healthcare
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