Director of Applied AI Engineering

🕒 Outubro 15

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $207.000 - $290.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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Esta empresa já patrocinou vistos H1B no passado.

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North

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A North é um fornecedor abrangente de soluções de pagamento. Especializando-se em sistemas de ponto de venda, processamento de pagamentos e serviços para comerciantes, a North oferece uma ampla gama de produtos para otimizar as operações de negócios, tanto online quanto offline. Seus serviços incluem pagamentos móveis seguros, gateways de e-commerce, soluções de POS e ferramentas de back-office como faturamento, relatórios, gerenciamento de estoque e programas de fidelidade do cliente. A North atende diversos setores, incluindo varejo, restaurantes, saúde, jogos e mais, com soluções robustas adaptadas às necessidades específicas de negócios. Eles oferecem opções escaláveis para empresas e franquias e fornecem APIs para que os desenvolvedores criem soluções de pagamento integradas. Comprometida com a segurança, a North garante que todas as transações sejam validadas pelo PCI DSS, com criptografia avançada e tokenização.

Descrição

• Build and lead North's Applied AI engineering team • Define the practice's operating model, engagement strategy, and technical standards • Partner with Product, customers, and business stakeholders to observe workflows and develop AI solutions • Drive discovery, prototyping, and transition of AI capabilities to production across concurrent enterprise projects • Architect, deploy, and maintain production AI solutions including agentic workflows, chatbots, copilots, agent-assist tools, and traditional ML models • Establish modular, reusable integrations for AI agents to securely access internal systems and enterprise data with least-privilege controls • Own the AI evaluation lifecycle, including offline/online evaluations, benchmark datasets, human-in-the-loop validation, and production-readiness criteria • Manage production operations with Cloud and Data Engineering, overseeing CI/CD, monitoring, incident response, latency, and inference-cost optimization • Partner with Product, Sales, Marketing, Operations, and Risk to improve business processes • Work with Risk, Compliance, Legal, and Information Security to ensure AI systems are explainable, auditable, and safely governed • Report the team's impact to leadership through clear reporting and KPIs • Establish long-term strategy, technical architecture, responsible-AI guardrails, and short-term scope and sequencing

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience • 10+ years of experience in software engineering, machine learning, or a related domain, including time in a customer-facing or business-embedded engineering capacity • 2+ years building and shipping production systems on top of large language models (LLMs), including at least one agentic or conversational system live with real users • 4+ years of hands-on management experience with a track record of hiring and growing teams as well as providing coaching and mentoring • Exceptional leadership skills and ability to operate in a fast-moving environment • Hands-on approach to closing gaps in technical execution, including personally debugging a misbehaving agent in production • Demonstrated problem-solving and executive-level communication skills • Expertise in code-level AI SDKs and agent frameworks, such as LangGraph, CrewAI, and AWS Strands Agents • Knowledge of tool/function calling, RAG, vector search, structured outputs, conversation and state management, and deterministic workflows • Cloud engineering skills, preferably AWS, including managed services, containers, IAM, networking, and cost optimization • Experience deploying and maintaining production AI systems, CI/CD, tracing, incident response, and latency/cost controls • Experience with AI evaluation, including test sets, regression testing, human review, and live quality measurement • Knowledge of AI security and guardrails, including prompt injection defense, least-privilege access, audit trails, and human-in-the-loop design • Knowledge aligned with financial regulations including Model Risk Management, SOC 2, PCI DSS, and GLBA • No sponsorship is available for this position

🏖️ Benefícios

• Medical, Dental, & Vision Coverage • Flexible Paid Time Off • 401(k) + Match • Mental Health Support & Well-Being Program • Paid Maternity & Paternity Leave • Education Assistance • Company-funded Lifestyle Spending Account

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