出海雷达

Director of Applied AI Engineering

AI开发工程限定地区(需当地身份)
公司North American Bancard
薪资$207,000 - $290,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
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应用 AI 工程北 -远程 (美国)的总监让我们一起去北。加入我们的使命,建立最大的信用卡处理和商务服务套件。这是一个由最多元化的支付公司支持的简单支付平台。从信用卡处理到后台管理,北向更智能,更快,更简单的支付解决方案提供了道路。工作摘要:应用 AI 工程总监将构建并领导北方的应用 AI 团队:一组实践组织,从原型到生产中采取人工智能的能力。这是一个提供作用,而不是研究角色,以系统来衡量在受监管的金融服务环境中运行活跃,采用和安全。这需要一个具有强大的软件工程基础知识的人,对大语言模型和机器学习比传统自动化更好的地方进行判断,关注细节并能够快速发展和根据我们业务,产品,客户以及监管义务的深入了解采取行动的能力。这位职位将与产品,销售,营销,运营和风险合作以改善当前的业务流程,并将与风险,合规性,法律和信息安全合作以确保 AI 系统可解释,可审计和安全管理。该角色负责通过明确的报告和 KPI 提供领导者对团队的影响的更新,以及建立长期战略,技术架构和负责任 AI 防护线以及短期范围和测序,从而快速投入到生产中价值。你会做什么:· 建立和领导一个高性能的应用 AI 工程团队,从一开始就定义了实践的运营模式,参与策略和技术标准。· 与产品,客户和业务利益相关者合作观察工作流程并将操作挑战转化为有效的 AI 解决方案。·推动人工智能能力在同时企业项目中快速发现,原型制造和无过渡到生产。· 设计,部署和维护生产 AI 解决方案,包括代理工作流程,聊天机器人,副飞行员,代理辅助工具以及传统 ML 模型。· 建立模块化,可重复使用的集成,使人工智能代理能够安全地访问内部系统和企业数据,以最小特权控制。·拥有 AI 评估生命周期,包括线下/在线评价,基准。

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Director of Applied AI Engineering
North - Remote (US)

Let’s go North, together.

Join our mission to build the largest suite of credit card processing and merchant services. It’s one simple payment platform backed by the most diverse payment companies. From credit card processing to back-office management, North points the way to smarter, faster, and just plain better payment solutions.

Job Summary:
The Director of Applied AI Engineering will build and lead North's Applied AI team: a hands-on group that takes AI capabilities from prototype to production inside real business workflows. This is a delivery role, not a research role, measured by systems that are live, adopted, and safe to run in a regulated financial services environment. This will require an individual with strong software engineering fundamentals, judgment about where large language models and machine learning outperform conventional automation, attention to detail, and the capacity to rapidly develop and act upon in-depth knowledge of our business, products, customers, and regulatory obligations.

This position will partner with Product, Sales, Marketing, Operations, and Risk to improve current business processes, and will work with Risk, Compliance, Legal, and Information Security to ensure AI systems are explainable, auditable, and safely governed. This role is responsible for providing updates to leadership on the team's impact through clear reporting and KPIs, and for establishing the long-term strategy, technical architecture, and responsible-AI guardrails as well as the short-term scope and sequencing that gets value into production quickly.

What You’ll Be Doing:

  • Build and lead a high-performing Applied AI engineering team, defining the practice's operating model, engagement strategy, and technical standards from the ground up.
  • Partner with Product, customers, and business stakeholders to observe workflows and turn operational challenges into effective AI solutions.
  • Drive rapid discovery, prototyping, and seamless 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, incorporating offline/online evals, benchmark datasets, human-in-the-loop validation, and production readiness criteria.
  • Manage production operations alongside Cloud and Data engineering, overseeing CI/CD, monitoring, incident response, latency, and inference cost optimization.

What We Need From You:

  • 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 (ex. forward deployed, solutions, or professional services engineering)
  • 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 proven ability to operate in a fast-moving environment
  • Hands-on approach to closing gaps in technical execution, able to personally debug a misbehaving agent in production

Knowledge, Skills & Abilities:

  • Demonstrated problem-solving and executive-level communication skills, bridging technical teams and leadership seamlessly.
  • Hands-on expertise in code-level AI SDKs and agent frameworks (e.g., LangGraph, CrewAI, AWS Strands Agents), selecting optimal tools rather than relying on no-code builders.
  • Knowledge of core building blocks of production AI applications: tool/function calling, RAG, vector search, structured outputs, conversation and state management, and the judgment to favor deterministic workflows when appropriate.
  • Cloud engineering skills (preferably AWS), including deploying agents on managed services (e.g., Bedrock AgentCore), containers, IAM, networking, and cost optimization.
  • Track record deploying and maintaining production AI systems, driving robust CI/CD, tracing, incident response, and latency/cost controls.
  • Experience making evaluation part of the build cycle, including test sets, regression testing, human review, and measuring quality once systems are live
  • Grasp of AI security and guardrails (prompt injection defense, least-privilege access, audit trails, and human-in-the-loop design) aligned with financial regulations (Model Risk Management, SOC 2, PCI DSS, GLBA).

What we offer:
We offer a comprehensive benefits package that enables our teams to live a life well lived, both personally and professionally. Some of our perks include:

  • 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

Salary Range: $207,000-290,000 USD
Pay within this range varies by work location and on job-related knowledge, skills, and experience. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.

Please note: North is a US-based company and no sponsorship is available for this position at this time.
Who we are:
North, and our family of companies, are committed to helping entrepreneurs grow their businesses. As an end-to-end payment solutions company, we provide everything business owners need to get paid, whether they serve customers in a physical storefront, online, or both. We pride ourselves on being large enough to offer customized solutions to our enterprise-level clients while remaining agile enough to take an award-winning, hands-on approach to personal service that our merchants won’t find anywhere else.

Let’s go North, together! Our most important resource is our people. Join our diverse team of innovators and do-ers and make your mark on the future of payments technology. We're proud to offer benefits that help our team members further their overall well-being through unique initiatives that are both personally and professionally fulfilling.

At North, we celebrate diversity and create an inclusive environment for everyone. We are an equal opportunity employer.

To learn more about North, and our family of companies, visit our website:
Originally posted on Himalayas

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