This position is responsible for bridging the gap between central AI software and physical industrial automation infrastructure. You are responsible for defining and harmonizing scalable system architectures that align with enterprise strategies and technology standards. Your mission is to deliver adaptable, high-performance architectures by seamlessly blending cloud and edge-based AI models with physical Operational Technology (OT). You contribute to architectural consistency across product lines, develop forward-looking system roadmaps, and define strict requirements that ensure data reliability, edge scalability, and robust cybersecurity. Acting as the primary technical interface between Data Science teams and business units, you manage relationships with external system integrators to validate predictive analytics, drive innovation, and optimize energy efficiency.
What Will You Do?
AI Deployment & Infrastructure Integration
- Integration Architecture: Define, maintain, and execute the integration architecture between Edge System Management, AI Hub services, and existing physical equipment.
- Pipeline Interoperability: Design and optimize end-to-end data pipelines ensuring seamless data flow between legacy hardware and modern cloud/edge AI environments.
- Model Lifecycle Management: Build and maintain scalable systems for containerized AI model distribution, runtime integration, and live deployment at the edge.
Technical System Architecture
- Target Architecture: Define and communicate the architectural frameworks, ensuring strict technical consistency across existing platform infrastructure.
- Data Schema Design: Translate technical requirements into low-level integration designs, covering API contracts, system interfaces, data schemas, and integration patterns.
- Architectural Governance: Drive core technical decisions and ensure strict alignment on tech stacks across distributed engineering teams.
Engineering Leadership & Troubleshooting
- Hands-on Guidance: Provide deep technical support to development teams through strict code/design reviews, technical guidance, and problem-solving.
- System Integration: Systematically diagnose and resolve engineering mismatches, integration bottlenecks, and connectivity friction between cloud software and hardware.
- Validation & Testing: Lead structural validation, edge scalability testing, and end-to-end system behavior checks across all integrated components.
Technical Collaboration & Best Practices
- Cross-Team Engineering: Act as the primary technical bridge between Data Science/AI teams, Edge Architecture groups, and core Engineering.
- Standards Enforcement: Drive the adoption of strict engineering best practices regarding scalability, observability, performance, data reliability, and cybersecurity.
- Tech Exploration: Conduct targeted Proof of Concepts (PoCs) specifically focused on validating new integration paths, orchestration tools.
Experience & Qualifications
- Education: Bachelor's or master's degree in computer science, Electrical Engineering, Data Science, Industrial Automation, or a related technical field is required.
- Experience: 6+ years in software engineering or industrial automation, with a proven track record of technically leading complex, full-scale systems integration projects.
- System Delivery: Deep hands-on experience building, operating, and maintaining distributed systems that span Cloud + Edge + IoT Devices.
- Technical Influence: Demonstrated leadership skills with the ability to guide, motivate, and align cross-functional engineering teams on complex technical architectures without direct reporting authority.
Technical Skills
- AI-Enabled Integration: Advanced knowledge of machine learning lifecycles, edge-to-cloud model deployment, API integration with AI services, and data pipeline plumbing.
- Industrial Automation & OT Connectivity: High proficiency in blending AI models with physical OT infrastructure, including SCADA systems, PLCs, and network protocols.
- DevOps & Observability: Solid command of CI/CD infrastructure, automated integration testing, and deep system observability tools across networks.
- Ecosystem Familiarity: Exposure to or proficiency with desired Schneider Electric EcoStruxure platforms is highly preferred.
We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.
Who will you report to? Digital Transformation Manager
Bring your cybersecurity expertise to a team that's building the future of smart manufacturing apply today!
At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work.
Our Total Rewards is our way of saying: "We see you. We value you". It's more than just pay and benefits- it's a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker.
For this U.S. based position, the expected pay range is USD 101,600 - USD 140,000 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.
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Our Total Rewards package outlines all the benefits and support you'll enjoy as part of the Schneider Electric team:
Care for Yourself and Your Family. We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks, flexible work arrangements, paid family leaves, well-being programs, 12 holidays per year, and 15 days of paid time off per year.
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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.
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+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.
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