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.