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1 день назад

Senior AI Architect | Enterprise AI & Agentic Systems

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
RUВакансия из Hirify RU, списка российских tech-компаний

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TL;DR
Senior AI Architect | Enterprise AI & Agentic Systems (AI/Agentic Systems): Designing and building scalable, secure, production-ready AI systems across data pipelines, retrieval architectures, model integration, and agent orchestration with an accent on enterprise architecture, evaluation, governance, and compliance. Focus on developing APIs and evaluation frameworks, embedding security and auditability, and establishing technical standards for reliable AI applications.

Location: Texas, USA

Company

UMA is partnering with an innovative technology company that helps organisations make digital platforms more secure, intelligent, and reliable.

What you will do

  • Design scalable AI architecture for applications across the organisation.
  • Build and prototype AI systems, including data pipelines, retrieval architectures, model integration, and agent orchestration.
  • Develop APIs and integration patterns for AI capabilities across products and internal systems.
  • Contribute to model selection, evaluation, governance, and AI model strategy.
  • Build evaluation frameworks to measure system quality, reliability, and safety.
  • Embed security, compliance, auditability, architectural standards, and technical best practices into AI systems.

Requirements

  • 5+ years of experience in Software Engineering, Machine Learning Engineering, or AI Architecture.
  • Hands-on experience designing and building AI systems end-to-end.
  • Strong understanding of modern AI architecture, including data pipelines, retrieval systems, model integration, and deployment.
  • Experience building software in enterprise or regulated environments.
  • Understanding of AI security, governance, compliance, and auditability.
  • Experience contributing to architectural decisions and technical standards.
  • Strong communication skills and the ability to work across technical and business teams.

Nice to have

  • Experience in financial services, digital identity, or fraud detection.
  • Experience with AI agents, LLM orchestration, or agentic AI architecture.
  • Experience with AI evaluation frameworks and production model monitoring.
  • Knowledge of data protection and financial services regulations.

Culture & Benefits

  • Join a talented engineering team working on meaningful technical challenges.
  • Influence the future of AI capabilities and architectural decisions across the business.
  • Work on AI systems designed for enterprise and regulated environments.

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