Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Позиция дает понятную ответственность senior-уровня за архитектуру данных и современные AI-системы, но широкий охват задач и требования для работы с федеральными заказчиками сужают круг доступных специалистов.
?Широкий охват задач
Современные технологии
Сфера AI
?Ограничение по гражданству
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (AI) (AWS/Python/SQL): Designing enterprise data, cloud, and AI platforms for federal clients with an accent on scalable architectures, data governance, and intelligent automation. Focus on building RAG and LLM solutions, AI agents, MCP-based architectures, and evaluation frameworks for model accuracy, retrieval quality, safety, and business impact.
Location: 100% remote; U.S. Citizenship required, with the ability to obtain and maintain a federal government suitability clearance.
Company
hirify.global develops enterprise data and AI platforms supporting federal clients.
What you will do
Design scalable enterprise data architectures, data lakes, warehouses, and AWS analytics platforms.
Develop logical, physical, and dimensional data models and establish data governance, quality, security, and metadata standards.
Build and optimize data pipelines, ETL/ELT processes, APIs, and serverless solutions using AWS, Python, and SQL.
Design AI-enabled solutions including RAG, LLM integrations, AI agents, and MCP-based architectures.
Develop AI evaluation frameworks covering model accuracy, retrieval quality, safety, and business impact.
Translate stakeholder needs into scalable technical solutions and provide architectural leadership across Agile teams.
Requirements
Bachelor’s degree in a related field or equivalent experience.
8+ years of experience in data architecture, data engineering, or enterprise data management.
Expertise in data modeling, data integration, metadata management, governance, and AWS-based data platforms.
Strong hands-on experience with Python, SQL, APIs, and serverless architectures.
Experience implementing LLMs, RAG solutions, AI agents, MCP integrations, and AI evaluation methodologies.
Knowledge of vector databases, embeddings, semantic search, and enterprise knowledge retrieval.
Strong communication and stakeholder engagement skills.
U.S. Citizenship and the ability to obtain and maintain a federal suitability clearance are required.
Nice to have
Experience supporting federal agencies.
Experience with vector databases such as pgvector.
AWS certification in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
Experience with Agile, DevSecOps, and CI/CD practices.
Culture & Benefits
Fully remote work arrangement.
Collaboration across Agile teams with architectural and technical oversight responsibilities.
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