A.I. Application Developer

Schneider Electric has a meaningful opportunity available for an A.I.

Application Developer in our Power Products division.

You will work for a company consistently rated by Fortune as one of the "Great Places to Work", by Glassdoor as "Best Places To Work" and by TIME as the #1 "Most Sustainable Company in the World."

Mission | About the Role

Power Products has created an AI Center of Excellence to turn AI from individual experimentation into measurable business value across the division.

The Centre of Excellence works hub-and-spoke: it owns the platform, the standards and the path to production, while the use cases, the domain judgement and the pilots sit in the functions and the hubs, where the work is.

It is deliberately small, and stays small by building capability in the business rather than absorbing the demand itself.

The Power Products AI Centre of Excellence covers 4 missions:

Build and industrialise.

Turn prioritised business problems into production-grade AI products, with a clear operating model, service levels and a named relationship with each business unit and its champions.

Make it safe and scalable.

Own the platform and the environments, assess the risk of every AI application, and build the quality engineering that gives confidence in what the AI returns.

Risk rises with the autonomy the application is given and with the criticality of the process it touches.

Grow the community.

Train the teams, animate and certify the champions in every function, and maintain a catalogue of specialised AI skills for the different Power Products functions.

Set the direction.

Educate the CTO and the leadership team on what AI can and cannot do, and hold an iterative, fast-fail way of working across the portfolio.

The AI Application Developer integrates AI models and capabilities into the processes, applications and systems Power Products already runs.

The role takes what has been proved by the engineering team and makes it production grade, so that the capability lands inside the tools people already use rather than beside them.

The AI Application Developer will be focused on:


* Building the application layer - interfaces, orchestration, agents, and integration with the systems of record (ERP, PLM, CRM, quality and engineering tools).



* Taking a validated prototype to production: error handling, guardrails, performance, access control, documentation and a named maintainer.



* Building for reuse - componentising what will be needed again, so that the second build costs materially less than the first.


* Implementing the human checkpoints the specification requires - approval steps, confidence thresholds and escalation paths - in the application and its controls rather than in the prompt.


* Instrumenting everything shipped: usage, latency, cost, failure modes, and whether the workflow actually changed.

The AI Application Developer is expected to show:


* Solid software engineering experience with o...