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5 часов назад

Digital - Principal SRE (AI Engineer)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Digital - Principal SRE (AI Engineer) (AI/SRE): Designing, deploying, and maintaining AI-driven systems and automation tools for reliable, scalable digital platforms with an accent on machine learning integration, observability, and cloud-native infrastructure. Focus on operationalizing AI agents and LLMs, defining SLOs and evaluation plans, and solving complex reliability, latency, safety, and cost challenges.

Location: Columbus, OH, United States; office-based workplace

Company

hirify.global is a banking organization delivering digital platforms and services.

What you will do

  • Design, develop, and implement AI-driven systems and automation tools that improve the reliability and efficiency of digital platforms.
  • Monitor the health, availability, and performance of AI-enabled applications and infrastructure using SRE practices.
  • Integrate machine learning models into production environments and develop abstraction layers across AI providers such as Google and OpenAI.
  • Establish SLOs, error budgets, incident response procedures, observability practices, and operational runbooks.
  • Troubleshoot complex AI incidents, analyze post-incident reviews, automate manual work, and optimize system performance.
  • Conduct design workshops, proofs of concept, and code-with sessions while defining metrics and evaluation plans for agent accuracy, latency, safety, and cost effectiveness.

Requirements

  • Applicants must be currently authorized to work full-time in the United States; immigration or work-permit sponsorship is not available.
  • Bachelor’s degree in computer science, engineering, data science, or a related field, plus relevant experience.
  • 5+ years of hands-on experience in AI/ML engineering, SRE, DevOps, or related roles.
  • Hands-on programming experience with Python, Java, or similar languages, including developing and deploying machine learning models.
  • Experience with cloud platforms such as AWS or GCP, Docker, Kubernetes, observability tools, and ServiceNow.
  • Understanding of SRE principles, infrastructure as code with Terraform or Ansible, and CI/CD pipelines.

Nice to have

  • Experience operationalizing large language models or generative AI systems in production.
  • Background in MLOps, data engineering, or cloud-native AI deployment.
  • Knowledge of security best practices for AI and cloud infrastructure.
  • Contributions to open-source AI or SRE projects and relevant technical communities.

Culture & Benefits

  • Collaborate with Digital SRE engineers, data scientists, DevOps, operations teams, and cross-segment stakeholders.
  • Work on mission-critical digital services and cutting-edge AI solutions.
  • Participate in an in-office workplace environment with collaboration and knowledge-sharing activities.
  • Exempt position and not eligible for overtime pay.

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