Technical Director – AI Enterprise Architect

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $300.000 / ano

⏰ Tempo Integral

🔴 Especialista

🔙 Engenheiro Backend

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Locus Robotics

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

📦 Logística

🏭 Manufatura

🤖 Inteligência Artificial

💰 $117.000.000 Series F em 2022-11

Logistics • Manufacturing • Artificial Intelligence

A Locus Robotics é uma líder em automação de armazéns, fornecendo soluções robóticas inteligentes e inovadoras habilitadas por IA para aumentar a produtividade do armazém e a eficiência operacional. A empresa oferece uma gama de serviços, incluindo picking, armazenagem, transporte e gestão de mezaninos, utilizando robôs móveis autônomos (AMR) que são facilmente integrados em ambientes de armazém existentes. Seus produtos são projetados para melhorar a produtividade em 2-3 vezes e reduzir significativamente os custos de mão de obra. A Locus Robotics é conhecida por suas opções de implantação sem interrupções, flexibilidade, escalabilidade e tecnologia amigável ao usuário, que apoia múltiplos armazéns em várias indústrias, como logística de terceiros, varejo, saúde e comércio eletrônico.

Descrição

• 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.

🎯 Requisitos

• 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.