AI Platform Engineer for Production & Scale

Accenture PLC; Dublin; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Accenture Song Service is seeking a platform engineer with a strong foundation in cloud infrastructure and AI operations. You will work with client teams to build and run compute, deployment infrastructure, and tooling AI depends on, ensuring real-time responsiveness and cost efficiency across busy periods.

You will focus on reliability, peformance, and scalable platform components, collaborating with engineers, data teams, and business stakeholders to deliver value at enterprise scale.

Qualifications

• 3+ years of professional experience in platform, cloud, DevOps, site reliability, or data engineering.
• 1+ years of experience working on customer service, contact center, or customer experience projects or operations.
• Hands-on experience with at least one cloud platform (AWS, Azure, or Google Cloud), including containers and Kubernetes, infrastructure as code such as Terraform, and CI/CD.
• Programming and scripting skills in Python, plus SQL for querying data and validating pipelines.
• Experience deploying and running AI or ML workloads on managed AI platforms and with observability and performance tooling.

Responsibilities

• Work embedded with client technology teams, on site and remote, to understand platforms, data, and constraints behind service operations.
• Partner with Forward Deployed Engineers and AI Solution Engineering teams to take prototypes to production with proper environments and tooling.
• Stand up environments, model serving and inference endpoints, and deployment pipelines quickly for rapid production readiness.
• Build and maintain AI platform infrastructure using infrastructure as code, containers, and CI/CD across cloud and hybrid environments.
• Run performance and load testing for real-time voice and chat workloads, tune latency, and plan capacity for seasonal peaks.
• Track and optimize the cost of AI at scale through token usage, model routing, caching, and right-sizing for client reporting.
• Build data pipelines and platform components behind service data lakes, reporting, dashboards, and analytics agents.
• Set up observability, logging, alerting, monitor against SLOs, respond to incidents, and write runbooks for handoffs.

Skills

Cloud platforms (AWS/Azure/GCP)

Python

SQL

Kubernetes

Terraform

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Kubernetes

Datadog

OpenTelemetry

Grafana

Job description

Accenture Song Service is seeking a platform engineer with a strong foundation in cloud infrastructure and AI operations. You will work with client teams to build and run compute, deployment infrastructure, and tooling AI depends on, ensuring real-time responsiveness and cost efficiency across busy periods.

You will focus on reliability, peformance, and scalable platform components, collaborating with engineers, data teams, and business stakeholders to deliver value at enterprise scale.