Technical Director – AI Enterprise Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $300k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

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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. • Redesign processes from the ground up into AI-native, automated workflows. • Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes. • Own the full lifecycle—from scoping through deployment, monitoring, and iteration. • Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources. • 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. • Define standards for tools, evaluation, and responsible AI usage. • Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Master’s or PhD preferred • 5+ years leading enterprise AI or digital transformation initiatives, with demonstrated ownership of strategy through execution • 5+ years of hands-on experience in software engineering, data engineering, or AI/ML roles, with strong proficiency in Python and modern cloud platforms (AWS, Azure, or GCP) • Proven experience designing and deploying production-grade AI systems, including agentic workflows that automate end-to-end processes and drive measurable business outcomes • Deep expertise in LLM-based systems, including RAG architectures, prompt engineering, tool integration, and enterprise use of foundation models (e.g., GPT-4, Claude, or equivalent) • Strong foundation in data engineering and architecture, including ETL/ELT pipelines, APIs, Lakehouse environments (e.g., Databricks), and data quality/governance frameworks • Experience building scalable AI platforms including: Shared services, connectors, and agent frameworks, evaluation and observability tooling and deployment and scaling infrastructure • Ability to operate at both strategic and deeply technical levels- prototyping, architecting, and delivering complex AI systems in production environments. • Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs. LLM-based approaches • Demonstrated ability to translate business problems into scalable technical solutions, with strong business acumen and outcome-driven thinking • Excellent English communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment.