Expert, AI Engineer
Schneider Electric3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Lead, mentor, and guide L1/L2/L3 support engineers.
- Serve as the primary escalation point for complex application, ML model, and cloud-service issues.
- Manage the full lifecycle of incidents and AI use-case issues for internal business units and external clients.
- Support Python APIs, microservices, AI/ML pipelines, data-processing systems, and production workloads.
- Diagnose Python environments, dependencies, performance bottlenecks, and integrations.
- Maintain high availability, performance, monitoring dashboards, alerts, and SLA adherence.
- Use AI-native engineering tools and automated agentic evaluation frameworks to improve support workflows and observability.
- Coordinate operational readiness and handoffs with development teams across France and India.
- Drive continuous improvement, root-cause analysis, preventive measures, and operational best practices.
Requirements
- 5 –10 years of experience supporting production systems, preferably AI/ML or data-intensive applications.
- Hands-on experience supporting multiple layers, from underlying processes to AI use cases and intelligent agents.
- Strong Python, debugging, and API-framework experience with FastAPI, Flask, or Django.
- Experience with AWS services including EC2, Lambda, S3, SageMaker, and RDS.
- Experience with Azure services including App Services, Functions, Azure ML, Storage, and AKS.
- Experience with AI-native engineering tools and automated agentic evaluation frameworks.
- Experience with Azure DevOps, GitHub Actions, Jenkins, and infrastructure-as-code.
- Familiarity with Docker, Kubernetes, and microservices architecture.
- Strong leadership, mentoring, communication, stakeholder-management, and high-pressure incident-response skills.
- Preferred: AWS or Azure Administrator, Data, or AI certifications.
- Preferred: experience with MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines.
- Preferred: knowledge of DevSecOps, automation, cost optimization, and ITIL incident, problem, and change management practices.
Benefits
- High-visibility technical support work with direct organizational impact.
- Collaborative team culture, growth opportunities, exposure to complex technologies, and autonomy to set priorities.
- Total Rewards package supporting personal and family care, financial planning, skills and career growth, inclusion, and community contribution.
- Country-specific programs and initiatives may be available.
Tech Stack
Categories
About Schneider Electric
Schneider Electric builds electrical distribution equipment, industrial automation systems, and energy-management software and services for buildings, data centers, factories, and utilities. Founded in 1836 and headquartered in Rueil-Malmaison, France, it is a public company listed on Euronext Paris. The company sells globally through direct and partner channels in 100+ countries, with offerings such as switchgear, circuit protection, building management, microgrids, and the EcoStruxure software suite.