14 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 operating AI-driven systems and automation for reliable, scalable digital platforms with an accent on machine learning integration, observability, and cloud-native infrastructure. Focus on building AI provider abstraction layers, defining SLOs and evaluation plans, and solving complex reliability, latency, safety, and cost challenges in production.
Location: Columbus, OH, United States; office workplace type. Applicants must be currently authorized to work full-time in the United States. Visa sponsorship is not available.
Company
is a banking organization providing digital platforms and mission-critical financial services.
What you will do
- Design, develop, and deploy AI-driven systems and automation that improve the reliability and efficiency of digital platforms.
- Monitor the health, availability, performance, and observability of AI-enabled applications and infrastructure.
- Integrate machine learning models into production environments and establish SLOs, error budgets, and incident response procedures.
- Investigate complex AI-system incidents, conduct post-incident analysis, automate manual operations, and optimize performance.
- Develop abstraction layers across AI providers such as Google and OpenAI to support agent workflows.
- Run design workshops and proofs of concept, and define metrics, test harnesses, and evaluation plans for agent accuracy, latency, safety, and cost.
Requirements
- 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.
- Programming experience in Python, Java, or similar languages, including developing and deploying machine learning models.
- Experience with AWS or GCP, Docker, Kubernetes, infrastructure as code using Terraform or Ansible, and CI/CD pipelines.
- Familiarity with Prometheus, Grafana, the ELK stack, and ServiceNow incident management.
- Full-time United States work authorization is required; immigration sponsorship is not available.
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 technical communities.
Culture & Benefits
- Collaboration with Digital SRE engineers, data scientists, DevOps, operations teams, and cross-segment stakeholders.
- Opportunities to work on AI solutions and reliability for mission-critical digital services.
- Focus on reusable patterns, documentation, runbooks, and knowledge sharing.
- On-call responsibilities may be required.
- Exempt position and not eligible for overtime pay.
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