Chief Software Architect

Schneider Electric•Andover, California

50d•Remote

About The Position

We have an exciting opportunity to define the technical future of Schneider Electric’s Energy Management Software & Services portfolio. This role sits at the center of a highly strategic mission: unifying and advancing technology across Schneider Electric, ETAP, Planon, Digital Grid, and Services—while modernizing platforms and accelerating innovation through cloud-scale architecture and AI-enabled capabilities. For this U.S. based position, the expected compensation range is $230,000 - $285,000 per year, which includes base pay and short-term incentive. The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits. You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled.

Requirements

Bachelor’s or Master’s in Software Engineering, Computer Science, Electrical Engineering, or related discipline.
Strong experience with distributed systems and cloud-native architecture (microservices, event-driven design, API-first, domain-driven design).
Hands-on technical depth in one or more core languages commonly used in enterprise systems such as C++, C#, Java, Python, and/or Go (C++ especially relevant in performance-sensitive / industrial software contexts).
Deep experience with Azure (preferred), including security, networking, identity, and platform services.
Proven track record of production AI deployment (MLOps, monitoring, governance) and integrating AI into scalable systems.
Strong architecture documentation discipline (ADRs, reference designs, standards) and ability to drive adoption across teams.
Exceptional communication; can translate architecture to executives and engineers.
Sets independent technical vision; balances pragmatism, security, cost, and delivery realities.
Innovative mindset with strong leadership and accountability.

Responsibilities

Define reference architectures, standards, patterns, and guardrails (APIs, data, integration, identity, observability, reliability).
Design scalable cloud-native systems across portfolio products, including modernization and convergence roadmaps.
Lead architecture for production AI deployment: model lifecycle, MLOps/LLMOps, evaluation, monitoring, governance, and responsible AI.
Partner with engineering and product leaders to identify high-impact AI use cases and ensure safe, reliable integration.
Influence and align multiple CTOs and senior engineering leaders with differing strategies and constraints.
Establish decision forums (architecture councils, ADR practices, technical steering) and drive adoption.
Propose and sponsor pilots/POCs, measure outcomes, and scale what works—across software + services delivery models.