AI Development and Innovation Lead

ABOUT BRIDGEWISE

Bridgewise builds investment AI for financial institutions. Our fully compliant AI sits inside financial platforms and gives every type of investor premium, guided investment experiences, 24/7. Leading global institutions, including Fidelity, Interactive Brokers, Rakuten Securities, ING, Emirates NBD, B3 and more Bridgewise to redefine how their customers invest and to build deeper, longer-lasting relationships.

Bridgewise serves more than 100 financial institutions and millions of investors worldwide, and we have offices in the US, Latin America, Europe, East Asia, and the Middle East.

Join us and help shape the future of how the world invests.

THE ROLE

We’re looking for an AI Development and Innovation Lead to drive two company-wide missions: transform how we work through AI-assisted and agentic workflows, and accelerate product and technology innovation. The role is split equally between AI Transformation & Agentic Development and Innovation & Rapid Prototyping.

• 10+ years of experience in software engineering, technology leadership, architecture, AI, or innovation.

• Strong understanding of software development lifecycle, AI development tools, LLMs, AI agents, orchestration, and agentic workflows.

• Experience with cloud-native development, APIs, distributed systems, CI/CD, and AI-assisted development or automation.

• Proven ability to lead cross-functional transformation, prototype rapidly, and connect technology to customer and business value.

• Strong communication and influencing skills; comfortable working with executive leadership. Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field.

• Experience in FinTech, financial services, enterprise SaaS, or AI-driven products is an advantage.

• Lead the company-wide AI transformation strategy, including the AI-Assisted Software Development Lifecycle (ASDLC), and identify productivity opportunities across R&D and business functions.

• Establish scalable AI foundations, tools, integrations, governance, security practices, and reusable agentic workflows in partnership with Engineering, Architecture, Security, and business leaders.

• Redesign workflows to reduce repetitive work, improve quality and delivery speed, and increase automation across functions such as Product, Sales, Customer Success, Operations, Finance, Marketing, and HR.

• Define baselines, KPIs, and reporting to measure adoption, productivity, quality, cost efficiency, and business impact.

• Lead innovation and rapid prototyping: identify emerging technologies and customer opportunities, build proofs of concept quickly, validate their value, and transition successful initiatives into product or engineering teams.

• Build an innovation pipeline and communicate progress, results, risks, and opportunities to executive leadership.

WHAT SUCCESS LOOKS LIKE

Measurably faster delivery and shorter development cycles; greater automation and adoption of AI workflows; improved quality and efficiency; and validated prototypes that create meaningful customer value and product differentiation.