Director of Applied AI Engineering

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $207k - $290k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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North

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

North is a comprehensive payment solutions provider. Specializing in point of sale systems, payment processing, and merchant services, North offers a wide array of products to streamline business operations both online and offline. Their services include secure mobile payments, ecommerce gateways, POS solutions, and back-office tools such as invoicing, reporting, inventory management, and customer loyalty programs. North supports diverse industries, including retail, restaurants, healthcare, gaming, and more, with robust solutions tailored to specific business needs. They offer scalable options for enterprises and franchises and provide APIs for developers to create integrated payment solutions. Committed to security, North ensures all transactions are PCI DSS-validated with advanced encryption and tokenization.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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