Backed by 500 Global.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- 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)
More about this role
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.
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...
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