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NorthAB

End-to-end payments platform for businesses

Director of Applied AI Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA$207k - $290k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
  • At least 10 years of experience in software engineering, machine learning, or a related domain, including time in a customer-facing or business-embedded engineering capacity such as forward-deployed, solutions, or professional services engineering.
  • At least 2 years building and shipping production systems on top of large language models, including at least one agentic or conversational system live with real users.
  • At least 4 years of hands-on management experience, with a track record of hiring and growing teams and providing coaching and mentoring.
  • Hands-on expertise in code-level AI software development kits and agent frameworks such as LangGraph, CrewAI, and AWS Strands Agents, selecting tools rather than relying on no-code builders.
  • Knowledge of production AI application building blocks: tool/function calling, retrieval-augmented generation, vector search, structured outputs, conversation and state management, and when to favor deterministic workflows.
  • Cloud engineering skills, preferably AWS, including deploying agents on managed services such as Bedrock AgentCore, containers, identity and access management, networking, and cost optimization.
  • Experience deploying and maintaining production AI systems and driving continuous integration and continuous delivery, tracing, incident response, and latency and cost controls.
  • Experience incorporating evaluation into the build cycle, including test sets, regression testing, human review, and measuring quality in live systems.
  • Understanding of AI security and guardrails, including prompt injection defense, least-privilege access, audit trails, and human-in-the-loop design, aligned with financial regulations such as Model Risk Management, SOC 2, PCI DSS, and GLBA.
  • Problem-solving and executive-level communication skills to bridge technical teams and leadership.
  • Exceptional leadership skills and ability to operate in a fast-moving environment.
  • A hands-on approach to technical execution, including personally debugging a misbehaving agent in production.

Responsibilities

  • Build and lead a high-performing Applied AI engineering team, defining the practice's operating model, engagement strategy, and technical standards.
  • Partner with Product, customers, and business stakeholders to observe workflows and turn operational challenges into AI solutions.
  • Drive rapid discovery and prototyping, and transition 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 machine learning models.
  • Establish modular, reusable integrations that let AI agents securely access internal systems and enterprise data with least-privilege controls.
  • Own the AI evaluation lifecycle, incorporating offline and online evaluations, benchmark datasets, human-in-the-loop validation, and production readiness criteria.
  • Manage production operations alongside Cloud and Data Engineering, overseeing continuous integration and delivery, monitoring, incident response, latency, and inference cost optimization.
  • Partner with Product, Sales, Marketing, Operations, and Risk to improve business processes, and 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 updates and key performance indicators, and establish the long-term strategy, technical architecture, and responsible-AI guardrails, as well as short-term scope and sequencing for production delivery.

Desired Qualifications

  • AWS cloud engineering experience is preferred.

About the Company

NorthAB

End-to-end payments platform for businesses

Founded in 1992, North is a leading financial technology company building innovative, frictionless, end-to-end payment solutions for businesses of all sizes and industry types. North’s superior solutions span the entire payment ecosystem, from development, to partnerships that expand the landscape, creating a flexible universe that supports growth and scale for small businesses and merchants, as well larger enterprises with over $100 billion per year in electronic transaction volume. Experience easy-to-manage operations and payments infrastructure with a user-friendly merchant portal, end-to-end processing capabilities and personalized support. For more information, please visit www.north.com.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Troy, MI
Founded
2006

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