5 часов назад
Digital - Principal SRE (AI Engineer)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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