Sr. AI Engineer

Legrand has an exciting opportunity for an Sr. AI Engineer to join our Growing

AI Team within Legrand North and Central America. This is a remote position.

Our AI team builds and operates MAIA - Legrand's internal AI assistant platform

- along with an expanding portfolio of AI-powered automation and integration

solutions across LNCA's subsidiaries. As an AI Engineer, you will contribute to

day-to-day technical execution and support solution architecture - working in

close collaboration with the Director of Generative AI to ensure solutions are

secure, scalable, and built to last.

This role is the right fit for a technically exceptional engineer who wants to

build high-quality AI solutions, contribute strong engineering judgment, and

grow technical depth over time.

RESPONSIBILITIES

Solution Architecture & Technical Ownership

* Collaborate with the Director of Generative AI to design end-to-end AI

solution architectures - including agentic workflows, RAG pipelines, LLM

integrations, and enterprise system connectors - and own support the

technical execution of those designs.

* Develop and implement technical solutions for assigned use cases in alignment

with established architecture, standards, and design guidance.

* Evaluate Azure platform services and select appropriate hosting, storage, and

compute patterns (Web Apps, Function Apps, CosmosDB, Container Registry, AI

Search, Key Vault, and others) for each solution's specific requirements.

* Follow established engineering standards for code structure and quality,

security and access control, testing and validation, deployment practices,

and technical documentation - building on the foundation established by the

Director of Generative AI.

Deployment, Operations & Security

* Support the deployment, configuration, and operational management of AI

services in Microsoft Azure, ensuring solutions meet enterprise security

requirements including private networking, role-based access control, and

secrets management.

* Proactively monitor deployed services, address performance or reliability

issues, and maintain documentation to support long-term maintainability and

team knowledge continuity.

* Partner with IT, infrastructure, and security stakeholders to ensure

solutions align with Legrand's enterprise architecture and compliance

standards.

Development

* Contribute hands-on development work on priority projects - particularly

back-end services, agentic framework implementations, and complex API

integrations.

* Build, review, and maintain Python-based services (FastAPI), automation

workflows, and integration pipelines; work across the stack as needed

including front-end components (React/Vite/Chakra UI) and Node.js

integrations.

* Participate in code reviews and provide technical feedback to support

quality, maintainability, and shared engineering practices.

Team Collaboration & Technical Support

* Collaborate with the AI development team to clarify technical requirements,

resolve development blockers, and support delivery of assigned work.

* Participate in agile practices, including sprint planning, standups, and

retrospectives, to support team clarity, shared context, and delivery

momentum.

* Share technical knowledge with teammates through pair programming, code

review, and collaborative problem-solving.

* Escalate complex technical issues appropriately and contribute to resolution

planning with senior technical stakeholders.

Cross-Functional Collaboration

* Support the AI-assisted solution refinement process by helping maintain clear

work items in Azure DevOps and identifying opportunities to improve

development workflows in partnership with the Director of Generative AI and

AI Program Manager.

* Support the AI Program Director and Director of Generative AI in assessing

technical feasibility, effort estimation, and risk identification for

proposed use cases.

* Communicate technical decisions and architectural tradeoffs clearly to both

technical peers and non-technical stakeholders.

QUALIFICATIONS

Education:

* Bachelor's or advanced degree in Computer Science, Software Engineering, or a

related technical field. Equivalent professional experience in lieu of formal

degree will be considered.

Experience:

* 6+ years of professional software engineering experience, with at least 3

years focused on AI/ML development or enterprise AI system implementation.

Skills &

Qualifications

• * Strong proficiency in Python, including back-end service development with
• FastAPI, REST API design and integration, and automation scripting.
• * Hands-on, production experience deploying and managing cloud-hosted services
• in Microsoft Azure, including: App Services (Web Apps), Function Apps,
• CosmosDB, Container Registry, Azure AI Search, Key Vault, and Azure
• networking and security fundamentals.
• * Demonstrated experience building RAG (Retrieval-Augmented Generation)
• architectures, including vector indexing, semantic search, and LLM API
• integration (Azure OpenAI or equivalent).
• * Practical experience with agentic AI frameworks - specifically LangChain
• and/or LangGraph - including multi-step orchestration, tool use, and stateful
• agent design.
• * Working knowledge of front-end development using React (Vite-based builds);
• ability to contribute to and review UI layer work as part of full-stack AI
• solutions.
• * Ability to collaborate effectively with engineers at varying levels of
• experience and contribute to a supportive technical team environment.
• * Strong systems thinking: ability to reason through architecture trade-offs,
• failure modes, security implications, and long-term maintainability before
• writing a line of code.
• * Clear, confident written and verbal communicator; comfortable presenting
• technical designs and recommendations to both technical and non-technical
• audiences.
• Preferred:
• * Experience with MCP (Model Context Protocol) or comparable tool-calling and
• service integration patterns.
• * Familiarity with Node.js as a back-end integration layer.
• * Experience integrating with enterprise platforms such as SharePoint,
• Confluence, SAP, or similar systems common in large manufacturing or
• industrial organizations.
• * Exposure to Azure DevOps, CI/CD pipeline configuration, or
• infrastructure-as-code practices.
• * Experience working within a large, multi-subsidiary or matrixed enterprise
• environment.
• Legrand is the global specialist in electrical and digital building
• infrastructures. Its comprehensive offering of solutions for residential,
• commercial, and datacenter markets makes it a benchmark for customers worldwide.
• Legrand, North & Central America offers comprehensive medical, dental, and
• vision coverage, as well as distinctive benefits like a high employer 401K
• match, paid time off (PTO) and holiday pay, short-term and long-term disability
• benefit plans, above-benchmark paid maternity and parental leave, bonus
• opportunities in accordance with the Company’s incentive plans, paid time off to
• volunteer, and an active/growing Employee Resource Group network. For more
• information, visit legrand.us.