Digital - Principal SRE (AI Engineer)

0101 The Huntington National Bank; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Huntington is seeking a Digital - Principal SRE (AI Engineer) to design, deploy, and maintain AI-driven solutions across our digital platforms, ensuring reliability, scalability, and performance.

The role collaborates with SRE, data science, DevOps, and operations teams to deliver automated systems, establish SLOs, and drive cost efficiency and security in production AI workloads.

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science and experience.
• 5+ years hands-on AI/ML engineering, SRE, or DevOps experience.
• Hands-on programming in Python or Java, with ML model development/deployment.
• Hands-on with AWS/GCP and Docker/Kubernetes.
• Familiarity with Prometheus, Grafana, ELK, and ServiceNow.
• Strong SRE knowledge: monitoring, alerting, SLOs, automation.
• Experience with IaC (Terraform, Ansible) and CI/CD.

Responsibilities

• Design, develop, and implement AI-driven systems and automation tools to enhance reliability.
• Monitor health, availability, and performance of AI-enabled apps using SRE practices.
• Collaborate with cross-functional teams to deploy ML models to production.
• Establish SLOs, error budgets, and incident response for AI services.
• Identify and resolve incidents in AI systems using observability tools.
• Automate manual tasks and optimize system performance.
• Stay updated with AI, SRE, and cloud tech; recommend improvements.
• Document processes and runbooks for transparency.

Skills

AI/ML engineering

SRE/DevOps

Programming: Python/Java

Cloud platforms

Observability tools

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

Docker

Kubernetes

Terraform

Ansible

Prometheus

Grafana

ELK Stack

ServiceNow

Job description

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

The Digital ‑ Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for designing, deploying, and maintaining AI‑driven solutions while ensuring the reliability, scalability, and performance of digital platforms and services. The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and operations teams to deliver robust, efficient, and automated systems that support business goals.

Job Description Summary

The IS Technical Specialist provides technical and consultative support on the most complex technical matters. This role typically reports to the Head of Digital SRE and may involve on‑call responsibilities. The position provides opportunities to work on cutting‑edge AI solutions, collaborate with cross segment teams, and drive reliability for mission‑critical digital services.

Duties and Responsibilities

• Design, develop, and implement AI‑driven systems and automation tools to enhance the reliability and efficiency of digital platforms.
• Monitor the health, availability, and performance of AI‑enabled applications and infrastructure using SRE best practices.
• Collaborate with cross‑functional teams to integrate machine learning models into production environments, ensuring seamless deployment and operation.
• Establish and enforce service‑level objectives (SLOs), error budgets, and incident response procedures for AI‑driven services.
• Identify, troubleshoot, and resolve complex incidents related to AI systems, leveraging observability and monitoring tools.
• Drive continuous improvement by analyzing post‑incident reviews, automating manual tasks, and optimizing system performance.
• Stay up to date with advancements in AI, SRE, and cloud technologies, recommending innovative solutions to enhance digital reliability.
• Document processes and runbooks for operational transparency and knowledge sharing.

AI Platform Integration

Develop abstraction layers across AI providers (Google, OpenAI, etc.) to enable seamless integration and enablement. Conduct design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption.

Measure & Improve

Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.

Knowledge Sharing

Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Basic Qualifications

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field and experience.
• 5+ years Hands‑on with AI/ML engineering, SRE, DevOps, or related roles.
• Hands‑on programming skills in Python, Java, or similar languages, with Hands‑on with in developing and deploying machine learning models.
• Hands‑on with cloud platforms (e.g., AWS, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident management platforms.
• Solid understanding of SRE principles: monitoring, alerting, SLOs, error budgets, and automation.
• Hands‑on with infrastructure‑as‑code (Terraform, Ansible) and CI/CD pipelines.

Preferred Qualifications

• Excellent problem‑solving skills, attention to detail, and ability to work in a fast‑paced, collaborative environment.
• Strong communication and documentation abilities.
• Experience operationalizing large language models (LLMs) or generative AI systems in production settings.
• Background in MLOps, data engineering, and/or cloud‑native AI deployment.
• Knowledge of security best practices for AI and cloud infrastructure.
• Contributions to open source AI/SRE projects or relevant technical communities.

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes

Workplace Type

Office

Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in‑office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco‑Free Hiring Practice

Visit Huntington's Career Web Site for more details.

About Huntington

Welcome to Huntington! At Huntington, we look out for people. From reinventing banking with game‑changing innovations to building an internal culture that creates lifelong bonds, together, we can make people’s lives better. And amazing things happen when we look out for each other. We prove it every day. Whether it’s helping a colleague or collaborating on a new tool that will revolutionise the way we save money, our actions can have a huge impact. Our colleagues look out for people with a Can‑Do Attitude, Service Heart and Forward Thinking. Those are our values—simple but powerful. Each of them pushes us to do the right thing, to do right by people. Because people are what matter. If that sounds like you, we hope you’ll apply to join our team.

Reasonable Accommodations Various methods will be used throughout the recruitment process to verify candidate authenticity. Any interviews conducted virtually must be joined from a distraction‑free environment, with the candidate on camera and without the use of virtual backgrounds.

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