Director, AI Enterprise Architect

🕒 June 2

🇺🇸 United States – Remote

💵 $175k - $250k / year

⏰ Full Time

🔴 Lead

💻 IT Support

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Locus Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🚗 Transport

🏢 Enterprise

💰 $117M Series F on 2022-11

Artificial Intelligence • Transport • Enterprise

Locus Robotics is a company specializing in warehouse automation with an intelligent, AI-driven, enterprise-grade robotics platform. Their autonomous mobile robots (AMRs) are designed to enhance warehouse productivity, operational efficiency, and workplace safety. Offering solutions such as picking, putaway, transport, and mezzanine management, Locus Robotics aims to boost warehouse productivity 2-3 times and reduce labor costs. With a strong foundation in robotic technology and warehouse operations, they provide seamless integration with warehouse management systems and adapt to various environments, including brownfield and greenfield sites.

📋 Description

• Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment. • Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities. • Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes. • Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks. • Design and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities. • Establish frameworks for model governance, risk management, data access, and security. • Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

🎯 Requirements

• 5+ years driving enterprise AI or digital transformation initiatives • 5+ years in software engineering, data engineering, or AI/ML roles • Strong proficiency in Python and modern cloud platforms (AWS, Azure, or GCP) • Hands-on experience with data engineering (ETL/ELT, APIs, lakehouse architectures, data quality frameworks) and platforms such as Databricks • Experience building and deploying production-grade agentic AI systems that take actions, not just generate outputs • Deep expertise in LLM integration, RAG pipelines, and enterprise AI tooling (e.g., GPT-4, Claude, or equivalent models) • Solid foundation in classical ML techniques (regression, classification, anomaly detection, time-series forecasting) • Strong business acumen with the ability to identify root problems and deliver practical, high-impact solutions • Excellent communication skills, with the ability to engage both technical teams and executive stakeholders.

🏖️ Benefits

• Equal Opportunity Employer