Digital - Principal SRE (AI Engineer)

2 hours ago

Columbus, OH, USAStaff+

Responsibilities

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 and ensure their reliable deployment and operation.
Establish SLOs, error budgets, monitoring, alerting, and incident response procedures for AI-driven services.
Troubleshoot complex AI-system incidents and drive improvement through post-incident analysis, automation, and performance optimization.
Develop abstraction layers across AI providers including Google and OpenAI to support AI platform integration.
Conduct design workshops, proofs of concept, and code-with sessions for data-driven agent workflows.
Define metrics, test harnesses, and evaluation plans for agent accuracy, latency, safety, and cost effectiveness.
Create reusable patterns, runbooks, documentation, and best practices for internal assets and client roadmaps.

Bachelor’s degree in computer science, engineering, data science, or a related field.
At least 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.
Experience developing and deploying machine learning models.
Experience with cloud platforms such as AWS or GCP and containerization technologies including Docker and Kubernetes.
Familiarity with Prometheus, Grafana, the ELK stack, and ServiceNow incident management platforms.
Understanding of SRE principles including monitoring, alerting, SLOs, error budgets, and automation.
Experience with infrastructure-as-code using Terraform or Ansible and CI/CD pipelines.
Strong problem-solving, communication, collaboration, attention-to-detail, and documentation skills.
Preferred experience operationalizing LLMs or generative AI systems in production, with a background in MLOps, data engineering, or cloud-native AI deployment.
Knowledge of security best practices for AI and cloud infrastructure and contributions to open-source AI/SRE projects or technical communities are preferred.

The position is classified as exempt and is not eligible for overtime pay.
Workplace type is listed as office, with potentially flexible in-office and work-from-home arrangements determined by the hiring team.
The role may include on-call responsibilities.
Huntington is an equal opportunity employer and maintains a tobacco-free hiring practice.

10,000+ employees