Digital - Principal SRE (AI Engineer)
Core
Design, deploy, and maintain AI-driven solutions and automation tools to ensure the reliability, scalability, and performance of digital platforms.
Role type
Principal SRE (AI Engineer)
Builds
AI-enabled applications, automation tools, and abstraction layers for AI providers
Domain
Financial services, Artificial Intelligence, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Java, AWS, GCP, Docker, Kubernetes, Prometheus, Grafana, ELK stack, Terraform, Ansible, CI/CD pipelines, SRE principles, MLOps
Preferred skills
Large language models (LLMs), generative AI systems, data engineering, cloud-native AI deployment, security best practices for AI
Technologies
Google, OpenAI, Service Now
Responsibilities
Design and implement AI-driven systems and automation tools; Monitor health and performance of AI-enabled applications; Integrate machine learning models into production; Establish and enforce SLOs and incident response procedures; Troubleshoot complex incidents related to AI systems; Drive continuous improvement through post-incident analysis and automation; Develop abstraction layers across AI providers; Conduct design workshops and POCs for data-driven agent workflows; Define metrics to measure agent accuracy, latency, safety, and cost effectiveness.
Seniority
Principal, hands-on IC