Software Engineer Manager (Artificial Intelligence)

Join our Engineering team as a Software Engineer Manager (Artificial Intelligence). In this role, you will lead our AI Engineering organization, build and scale the engineering team, and deliver AI-powered products and enterprise capabilities. You will partner closely with Product, Design, Data, and business leaders to define strategy, execute against ambitious roadmaps, and deliver reliable, production-grade AI solutions.

• Lead and mentor a team of AI software engineers, fostering a culture of technical excellence and continuous learning.
• Drive engineering execution by establishing priorities, managing delivery, and ensuring predictable, high-quality outcomes.
• Define the technical architecture and engineering direction for AI platforms, services, and enterprise applications.
• The ideal candidate has a proven track record of leading high-performing engineering teams while remaining technically credible in modern AI and software engineering
• You know how to balance execution with long-term architecture, mentor engineers, raise the engineering bar, and build systems that scale
• You’re a great fit if you enjoy developing people as much as technology, can navigate ambiguity, and are passionate about delivering AI solutions that create measurable business value
• Experience with relational databases (PostgreSQL preferred) and distributed application architectures
• Proven experience building, delivering, and operating production software systems at scale
• Experience working in Agile development environments using tools such as GitHub, Jira, and Jenkins (or equivalent)
• Deep understanding of modern AI and machine learning concepts, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and model orchestration frameworks
• Demonstrated ability to recruit, mentor, and develop high-performing engineering teams
• Experience integrating AI services using leading LLM providers and modern AI frameworks such as LangChain, LangGraph, or similar technologies
• Excellent communication and collaboration skills with the ability to influence technical and non-technical stakeholders
• Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field
• Experience leading engineering teams responsible for AI/ML-enabled products or platforms
• Experience designing cloud-native applications using AWS, Docker, and modern deployment and CI/CD practices
• Strong understanding of software engineering best practices, including testing, observability, security, code review, and operational excellence
• Strong hands-on experience developing production applications in Python
• 8+ years of professional software engineering experience, including at least 3+ years leading engineering teams
• Startup or high-growth company experience
• Experience in financial technology or regulated industries
• Experience building and scaling AI platforms used across multiple products or business functions
• Experience leading engineering organizations through rapid growth or organizational change