Digital - Principal SRE (AI Engineer)

Job Description

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.