Expert, AI Engineer
Schneider Electric · Posted Oct 22
Energy management, automation, software, and sustainability solutions
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About the role
The role supports AI/ML-driven applications built with Python and deployed across AWS and Azure for business-critical internal and external use cases. It leads L1/L2/L3 support engineers and works with development teams in France and India on handovers and operational readiness. The position covers incident management, monitoring, MLOps, and maintaining availability and SLA adherence.
What you will do
- Lead, mentor, and guide a team of support engineers (L1/L2/L3).
- Foster seamless collaboration with development teams across France and India to ensure smooth handovers and operational readiness.
- Act as the primary escalation point for complex issues across applications, ML models, and cloud services.
- Drive continuous improvement initiatives and establish best practices for operational excellence.
- Manage the full lifecycle of issues for AI use cases, serving both internal business units and external clients.
- Provide end-to-end support for Python-based APIs, microservices, AI/ML pipelines, and data processing systems.
- Diagnose and resolve issues related to Python environments, dependencies, performance bottlenecks, and integrations.
- Maintain high availability and optimal performance of production workloads.
- Champion the usage of AI-native engineering tools to automate support workflows and improve system observability.
- Establish monitoring dashboards and alerts through Dynatrace, CloudWatch, Azure Monitor, or Application Insights.
- Own the full lifecycle of incidents, from detection to root cause analysis and preventive measures.
- Maintain and ensure adherence to SLA commitments.
Skills used in this role
What the employer is looking for
- 5–10 years of experience supporting production systems, preferably AI/ML or data-intensive applications.
- Hands-on experience managing support across various layers: from underlying processes to specific AI use cases and intelligent agents.
- Strong proficiency in Python, debugging, and API frameworks (FastAPI, Flask, Django).
- Experience with AWS (EC2, Lambda, S3, SageMaker, RDS) and Azure (App Services, Functions, Azure ML, Storage, AKS).
- Experience with AI-native engineering tools and automated agentic evaluation frameworks.
- Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and infrastructure-as-code.
- Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
- Global mindset: Ability to work effectively in a multicultural environment, specifically collaborating with teams in Europe and Asia.
- Excellent problem-solving skills and ability to handle high-pressure incidents.
- Strong leadership, mentoring, and team management capabilities.
- Effective communication and stakeholder management skills.
Preferred qualifications
- Certifications such as AWS and Azure Administrator, or Azure/AWS Data/AI certifications.
- Experience with MLOps tools (MLflow, Kubeflow, Sagemaker Pipelines, Azure ML Pipelines).
- Knowledge of DevSecOps, automation, and cost optimization best practices.
- Experience in ITIL practices for incident, problem, and change management.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Schneider Electric
Schneider Electric is a global leader in digital automation and energy management, driving efficiency and sustainability for homes, buildings, data centers, infrastructure, and industries. Combining world-leading energy technologies, real-time automation, software, and services, the company helps customers turn operational ideas into a more resilient and sustainable future.
- Industry
- Energy Management
- Company size
- 10001+ employees
- Founded
- 1836
- Location
- Rueil-Malmaison, France
- Funding stage
- Public Company
Leadership
Chief Executive Officer
Nathan Fast
Chief Financial Officer
Charise Le
Chief Human Resources Officer
Esther Finidori
Chief Sustainability Officer
Peter Weckesser
Chief Digital Officer
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