We are seeking an experienced
AI Support Expert to oversee the operational support, incident management, and technical maintenance of AI/ML-driven applications built using Python and deployed across AWS and Azure cloud platforms. The ideal candidate will have deep technical expertise in cloud infrastructure, Python-based application development, AI/ML operations (MLOps), and team leadership.
This role ensures high availability, reliability, and performance of AI systems that support business-critical processes, spanning across company's
Internal and External use cases. Key Responsibilities - Technical Leadership & Team Management
- 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.
- Application Support & Troubleshooting
- 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.
- Monitoring, Incident, and AI-Native Operations
- 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.
Required Qualifications Technical Skills - 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.
Soft Skills - 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.
What's in it for me? - Direct impact on organizational success through high-visibility technical support
- Collaborative team culture that values your expertise and innovative thinking
- Growth opportunities through exposure to cutting-edge technologies and complex challenges
- Autonomy to set priorities and contribute to transformative service improvements
Bring your technical talent to a team that's ready to support your success - apply today!
Rewards designed for you
Our Total Rewards is our way of saying: We see you and we value you. It's more than just pay and benefits-it's a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we're here for what matters most to you. Discover more at our Career Page .
* Country-specific programs and initiatives may be available.
Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric - apply today!
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Responsibilities
We are seeking an experienced
AI Support Expert to oversee the operational support, incident management, and technical maintenance of AI/ML-driven applications built using Python and deployed across AWS and Azure cloud platforms. The ideal candidate will have deep technical expertise in cloud infrastructure, Python-based application development, AI/ML operations (MLOps), and team leadership.
This role ensures high availability, reliability, and performance of AI systems that support business-critical processes, spanning across company's
Internal and External use cases. Key Responsibilities Technical Leadership & Team Management - 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.
Application Support & Troubleshooting - 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.
Monitoring, Incident, and AI-Native Operations - 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.
Required Qualifications Technical Skills - 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.
Soft Skills - 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.
