Lead AI Software Engineer

Role Overview

Key Responsibilities

• Lead the design, development, deployment, and evolution of production-grade AI agents and intelligent systems within modern cloud-native architectures.
• Provide technical leadership and mentorship to engineers, raising the bar on architecture, engineering quality, and execution.
• Drive the Build-Operate-Transfer model by incubating new AI products, hardening them for production, and partnering with business-aligned technology teams for long-term ownership.
• Shape ambiguous problems into scalable AI solutions that deliver measurable business value by working with product owners and senior partners.
• Guide the development of reusable AI capabilities (e.g., agent orchestration, tool use, retrieval-based systems, evaluation frameworks, observability, and guardrails).
• Champion engineering excellence through strong software design, code quality, automated testing, CI/CD, and safety controls.
• Oversee technical debt and drive continuous improvement across AI platforms, services, and development standards.
• Identify opportunities to apply AI to accelerate workflows, improve decision-making, and create scalable business impact.
• Apply product and engineering judgment to balance innovation, scalability, risk, and maintainability.

Required Qualifications

• Citizenship: US Citizenship required.
• Education: BS or MS in Computer Science or a related technical field, or equivalent practical experience.
• Experience: 8+ years of progressive software engineering experience in object-oriented languages (Java, Python, or JavaScript).
• Architecture: Extensive hands-on experience architecting and delivering cloud-native solutions using AWS or equivalent, including containerized microservices.
• AI Experience: Proven experience building or leading the development of AI-enabled systems, intelligent workflows, or agentic applications in production.
• Technical Skills: Strong familiarity with AI engineering patterns (agent orchestration, tool integration, retrieval-based systems, evaluation, monitoring, guardrails).
• Soft Skills: Exceptional problem-solving and system design skills; strong communication and influence skills across engineering and business stakeholders.

Desired Skills

• Experience contributing to shared platform capabilities, workflow systems, or reusable engineering components.
• Understanding of financial markets, asset management, or financial instruments.