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1 день назад

Web Application Architect (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Web Application Architect (AI/ML): Leading the architectural direction for AI and Machine Learning-enabled systems to integrate predictive models and LLMs into customer-facing applications with an accent on scalability, security, and cost-effectiveness. Focus on designing MLOps pipelines, scaling real-time inference on AWS, and driving the adoption of AI-augmented software engineering.

Location: Arlington, VA

Company

hirify.global is a leading source of legal, tax, regulatory, government, and business information for professionals.

What you will do

  • Lead the architectural direction for AI/ML-enabled systems, integrating LLMs and predictive models into customer-facing applications.
  • Design and deliver scalable, high-availability products with a deep understanding of both frontend and backend architectures.
  • Implement MLOps best practices for model lifecycle management, monitoring, and reliable data engineering pipelines on AWS.
  • Drive cross-team adoption of AI-driven automation and AI-augmented development tools across the SDLC.
  • Collaborate with cross-functional teams to communicate technical solutions and define the long-term technology roadmap.

Requirements

  • Bachelor’s degree in a related field or equivalent experience.
  • 7+ years of software development experience building commercial applications.
  • Expertise in AWS, Serverless, Event-Driven Architecture, SOA, Microservices, and Microfrontends.
  • Proven experience designing and deploying ML systems, including LLM and retrieval-based solutions, in production.
  • Strong data engineering skills for building scalable pipelines and optimizing data processing workflows.
  • Proficiency in using AI-powered coding agents to accelerate implementation while maintaining quality.

Nice to have

  • Experience with vector databases and retrieval-augmented generation (RAG) systems.
  • Experience implementing machine-readable knowledge graphs or ontologies for structured reasoning.
  • Experience operating in high-velocity engineering environments emphasizing rapid iteration.

Culture & Benefits

  • Opportunity to operate in an AI-augmented development environment leveraging cutting-edge coding agents.
  • Ability to serve as a strong influencer on technical trends across multiple business verticals.
  • Inclusive work environment with a strong commitment to equal opportunity and non-discrimination.

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