Data & AI architect in life sciences

Intellias; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Гибкий график

Возможности профессионального роста

Job summary

Intellias ищет опытного архитектора данных для руководства end-to-end дизайном корпоративных AI-решений и проектов на рынке США. Вы будете проектировать lakehouse-модели, обеспечивать качество данных и их lineage, а также разрабатывать интеграции с системами типа Microsoft 365, CRM и ERP.

В роли наставника вы будете вести дизайн-обзоры, код-ревью и прототипы. Ожидается 8+ лет в data-инженерии, 3+ года как solution/data architect и глубокий опыт Azure, включая безопасность и governance.

Qualifications

• 8+ лет в области data engineering или data platforms.
• 3+ года в роли solution/data architect, ведущего end-to-end дизайны для enterprise-клиентов.
• 3+ года опыта Azure (Fabric/OneLake, Azure AI Foundry и Azure OpenAI, Azure AI Search) включая безопасность и управление.

Responsibilities

• Владение целевой данными аккаунта и архитектурой AI; поддержка документов и записей по принятым решениям.
• Проектирование lakehouse-моделей данных с четким прослеживаемостью и качеством.
• Планирование окружений, емкостей и пути от пилота до продакшна.
• Проектирование интеграций с корпоративными системами (MS 365/SharePoint, CRM, ERP, финансы, проекты) и единая идентификация клиентов/проектов.
• Построение конвейеров документов с OCR, классификацией и извлечением на базе LLM.
• Архитектура RAG-решений и AI-агентов на Azure Foundry и Power Platform; обеспечение grounded answers, tool use и human-in-the-loop.
• Настройка evaluation-фреймворков с золотыми наборами данных и валидация изменений моделей и промптов.
• Обеспечение безопасности и управления доступом (Entra ID/RBAC, Purview, аудит, мониторинг и расходы).
• Выступление в роли технического советника клиента, проведение воркшопов и обоснование решений по cost и risk.
• Помощь бизнес-подразделениям с оценками, RFP, демо, предложениями и PoC; наставничество инженеров по данным и AI.

Skills

Python

SQL

Azure

Data architecture

Data modeling

Entity resolution

Security governance

Stakeholder communication

Tools

Microsoft Fabric

OneLake

Azure AI Foundry

Azure OpenAI

Azure AI Search

Job description

Описание

Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.

Задачи

Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records. Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products. Plan environments, capacity and the path from pilot to production. Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents. Build document intelligence pipelines that use OCR, classification and LLM-based extraction. Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps. Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes. Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required. Act as the client’s trusted technical advisor: run workshops and present trade‑offs, cost and risk clearly. Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in‑house capability.

Требования

8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end‑to‑end designs for enterprise clients. 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking) Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data. Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage. Strong hands‑on Python and SQL; working knowledge of PySpark. Ability to explain architecture and AI limits to non‑technical business stakeholders, and to defend decisions with trade‑offs, cost and risk. Comfortable working across several initiatives at once and switching between strategy and hands‑on detail. English at B2+ (Upper‑Intermediate) or higher for daily work with US stakeholders. Будет плюсом: Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre‑construction, estimating, proposals, commissioning and qualification; Exposure… etc

Условия

By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well‑being and charge your professional growth.