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full-time
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Software Architect - Enterprise AI

Twilio · Remote - Canada

Twilio is a cloud communications platform that provides APIs for voice, video, messaging and email, enabling businesses to build personalized customer experiences and developers to embed communication features into applications. The Software Architect, Enterprise AI role focuses on defining the vision and technical foundation for Twilio’s internal AI/ML platforms across all business units, including marketing, sales, support, operations and corporate functions. Day‑to‑day responsibilities include establishing architectural standards and guardrails for AI‑assisted software development, creating technical blueprints, mentoring senior engineers, and driving cross‑organizational initiatives that improve efficiency and innovation. The architect works closely with product, engineering and executive partners to shape the enterprise AI roadmap, presents complex solutions to leadership, and collaborates with AI/ML engineers, full‑stack developers and program managers to ensure consistent, high‑quality delivery. The position suits candidates with deep experience in full‑stack software architecture, cloud‑native applications, LLM and agentic AI systems, and a proven ability to lead technical teams, influence stakeholders and solve ambiguous, enterprise‑scale challenges.

software architectureenterprise aillm applicationscloud nativetechnical leadershipstakeholder collaborationai/ml platformfull stack development

Education

  • Level: Bachelor's degree
Software ArchitectureRemote

Key Skills

AI/MLFull-Stack DevelopmentSoftware ArchitectureLLMAgentic ApplicationsCloud ComputingSoftware Development LifecycleStakeholder CollaborationExecutive Presentation

Notes

Remote-first role with occasional on-site meetings

About the Role Twilio is seeking a Software Architect for Enterprise AI to define vision, architecture, and AI/ML platforms across business functions. The role is remote-based in Canada with occasional in-person gatherings. Responsibilities Establish high-performance software engineering culture; mentor senior technical leaders; lead architecture for Enterprise AI platform; ensure consistency through cross-product reviews; partner with product, engineering, and executive teams; solve complex enterprise-scale problems; present to executive leadership. Requirements Deep expertise in AI/ML platforms, full-stack software architecture, LLM and agentic applications; experience with cloud applications and the full software development lifecycle; strong stakeholder collaboration and executive communication skills. Eligibility Open to candidates of any academic background; internship listing indicates no specific degree or pass-out year requirements.

Software Architect - Enterprise AI: role and responsibilities

  • Establish a high-performance software engineering culture across teams.
  • Mentor senior technical leaders on best practices and technical excellence.
  • Lead the architecture and design of the Enterprise AI platform.
  • Ensure consistency through cross-product reviews and standards.
  • Partner with product, engineering, and executive teams to align AI initiatives.
  • Solve complex enterprise-scale problems involving AI/ML systems.
  • Present architectural decisions and progress to executive leadership.

Skills for this role

AI/MLFull-Stack DevelopmentSoftware ArchitectureLLMAgentic ApplicationsCloud ComputingSoftware Development LifecycleStakeholder CollaborationExecutive Presentation

Required skills

AI/MLFull-Stack DevelopmentSoftware ArchitectureLLMAgentic ApplicationsCloud ComputingSoftware Development LifecycleStakeholder CollaborationExecutive Presentation

Also mentioned in the listing

enterprise aillm applicationscloud nativetechnical leadershipai/ml platformfull stack development
RoleSoftware Architect - Enterprise AI
CompanyTwilio
LocationRemote - Canada
CompensationNot disclosed
Posted2026-09-25
DeadlineRolling

How to prepare for the Software Architect - Enterprise AI role

  • Highlight specific AI/ML projects where you designed or deployed models, emphasizing impact.
  • Showcase full-stack development experience, including both frontend and backend components you built.
  • Detail any work with LLMs or agentic applications, describing the problem, approach, and results.
  • Prepare examples of stakeholder collaboration and executive presentations you have delivered.
  • Review cloud platforms and be ready to discuss cloud-native architecture choices for scalable AI platforms.

Common mistakes to avoid

  • Focusing only on coding skills without demonstrating architecture or leadership experience; fix by adding architecture diagrams and mentorship examples.
  • Omitting evidence of LLM or agentic application work; fix by including project descriptions that mention LLMs or agents.
  • Submitting a generic resume that does not match the listed AI/ML and full-stack skills; fix by tailoring bullet points to each required skill.
  • Neglecting to prepare for stakeholder communication questions; fix by practicing concise executive-level summaries of technical work.
  • Overlooking cloud computing experience; fix by listing specific cloud services used and their relevance to scalable AI platforms.

Resume keywords for this listing

Terms the listing itself uses. Include the ones you can back with a project or experience.

AI/MLFull-Stack DevelopmentSoftware ArchitectureLLMAgentic ApplicationsCloud ComputingSoftware Development LifecycleStakeholder CollaborationExecutive Presentation

Check your resume against these keywords

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

0/4

Software Architect - Enterprise AI at Twilio: frequently asked questions

Who can apply for the Software Architect - Enterprise AI role at Twilio?
The listing asks for Bachelor's degree; freshers are welcome.
What skills does the Software Architect - Enterprise AI role require?
The listing highlights AI/ML, Full-Stack Development, Software Architecture, LLM, Agentic Applications, Cloud Computing, Software Development Lifecycle, Stakeholder Collaboration, Executive Presentation. Show each of these in a project or past role on your resume.
What is the salary for this role?
Twilio has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Software Architect - Enterprise AI position remote, hybrid or onsite?
The listing marks this role as remote, with Remote - Canada as the location.
What is the application deadline?
Twilio has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Software Architect - Enterprise AI role?
Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
What are the eligibility criteria for this internship?
The listing is open to candidates of any academic background; there are no specific degree or pass‑out year requirements stated.
Is the role remote or on‑site?
The internship is remote‑based in Canada with occasional in‑person gatherings, as indicated by the work mode REMOTE.

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