Software Architect, Enterprise AI (L6) at Twilio

About the Job

This position is needed to define and drive the vision, software architecture, and establish the AI/ML platforms across all of our business functions internally at Twilio.

Our charter and remit has expanded to cover all of the business teams company-wide, including Marketing, Sales, Customer Support & Global Operations, along with our corporate functions, including HR/People, Finance, Legal, Security & Privacy. This role requires a deep understanding of AI/ML platforms, full-stack software architecture, a strategic system design mindset, and the ability to drive innovation and efficiency across the organization.

The AI/ML Software Architect position will serve as a key technical leader in our Enterprise AI Engineering group, and s/he will provide architectural guidance globally, across our U.S., Canada, Colombia, and India teams. You will be responsible for shaping our long-term technical vision, establishing architectural standards and guardrails, and establishing our best practices for the modern AI-Assisted SDLC practice. You will drive cross-organizational initiatives, solve complex and ambiguous technical challenges, and partner with other Cross-BU Software Architects to elevate the technical standard for Twilio company-wide.

You will be responsible for guiding technical blueprints, mentoring developers, and partnering with program managers, designers, full-stack developers, and AI/ML engineers to set our team up for long-term success. The ideal candidate should have experience across the software lifecycle from architecture, design, development, deployment, and maintenance of modern, cloud applications. This is an opportunity to be an integral leader of a fast-growing engineering team, and shape the future of how Twilio works.

This leadership role requires a range of technical expertise in full-stack software architecture, LLM and Agentic Applications, and the ability to drive effective stakeholder collaboration and present work with executive leadership. To succeed in this role, you will have a strong sense of ownership for our engineering products, and possess a deep technical background to develop constant growth and innovation. This is an opportunity to be the key leader of a fast-growing team, and shape the future of how Twilio works for internal Twilions and customers alike.

Responsibilities

• Set and communicate long-term architectural vision, aligning teams and leadership across Twilio.
• Lead cross-product architecture reviews, standardize engineering practices, and drive foundational technical investments.
• Solve the most complex, ambiguous technical challenges at platform and company-wide scale.
• Mentor and guide principal and staff engineers, fostering a culture of engineering excellence and continuous improvement.
• Partner closely with product, engineering, and executive leaders to shape strategic direction and technical investments.
• Establish and model a high-performance culture of our Software Engineering team.
• Collaborate globally with our business teams, and partner closely with GTM leadership.
• Present regularly to executive leadership our AI Engineering plans and deliverables.
• Develop AI Agents & Solutions: Lead the creation and deployment of AI-powered solutions using the latest in GenAI to drive revenue, reduce costs, and provide competitive intelligence.
• Propose and build custom AI applications tailored to specific requirements, such as RAG-based AI chatbots, agentic workflows, and AI-powered automations.
• Project Leadership: Lead cross-team efforts to troubleshoot and resolve complex issues in AI/ML applications, ensuring alignment of technical outcomes with business requirements and goals.
• Cross-functional Collaboration: Work across different verticals (Support, Sales, Marketing, Operations, etc.) to ideate, develop, and implement new AI/ML solutions that drive business growth.
• Cultivate a team of builders and owners that collaborate, grow, and continuously improve together.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

*Required:

• 15+ years of experience designing and scaling distributed systems and platforms.
• Demonstrated ability to set technical vision and strategy at an enterprise or company-wide level.
• Expertise in system design, reliability, scalability, security, and cost optimization for large-scale architectures.
• Experience leading cross-functional initiatives and resolving highly complex, ambiguous technical problems.
• Proven record of mentoring senior engineering talent and elevating organizational standards.
• Exceptional written and verbal communication, influence, and leadership skills.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).