[Hiring] AI-Native Tech Lead @Vizio Ai

Role Description

Vizio AI is an AI-First Digital Transformation Studio helping organizations build AI-powered products, automation systems, internal platforms, and scalable software solutions. We don't build demos; we build production-grade systems used by real companies across multiple industries.

As AI changes how software is built, we're looking for a different type of technical leader:

• Not someone who simply writes code.
• Someone who knows how to build software with AI.
• Someone who can leverage AI agents, coding assistants, automation workflows, and modern engineering practices to dramatically increase delivery speed while maintaining quality.

What You'll Own

• Technical Architecture & System Design
  • Design scalable architectures across multiple products.
  • Define APIs, data models, integrations, and system boundaries.
  • Make technology decisions with long-term maintainability in mind.
  • Balance speed, cost, scalability, and technical debt.
  • Create foundations other developers can confidently build upon.
• AI-Native Software Development
  • AI should be a core part of your engineering workflow.
  • Comfortable using tools such as:
    • Claude Code
    • Cursor
    • GitHub Copilot
    • Windsurf
    • Agent-based development workflows
  • Demonstrate how AI contributes to your development process and engineering output.
• DevOps & Cloud Ownership
  • Own deployment pipelines and infrastructure decisions.
  • Design reliable CI/CD processes.
  • Manage cloud environments.
  • Improve security, monitoring, and operational reliability.
  • Reduce deployment friction across projects.
• Azure Ecosystem Leadership
  • Strong Azure experience is required.
  • Comfortable with:
    • Azure App Services
    • Azure Functions
    • Azure Storage
    • Azure SQL
    • Azure DevOps
    • Azure Monitoring & Logging
    • Identity & Access Management
    • Infrastructure and deployment best practices
• Hands-On Engineering
  • Actively contribute to production systems.
  • Typical projects include:
    • AI-powered SaaS platforms
    • Internal operational systems
    • Multi-tenant applications
    • Analytics platforms
    • Automation systems
    • Customer-facing portals
    • AI-native products
• Team & Technical Leadership
  • Review architecture and critical pull requests.
  • Mentor engineers.
  • Establish engineering standards.
  • Drive technical decision-making.
  • Improve development velocity through better systems and workflows.
• Client-Facing Technical Confidence
  • Join client meetings when technical expertise is needed.
  • Explain technical trade-offs clearly.
  • Represent engineering leadership externally.
  • Build trust through competence and clarity.

Qualifications

• 5+ years of software engineering experience.
• Strong JavaScript / TypeScript expertise.
• Experience with React.js, Next.js, Node.js, PostgreSQL.
• Azure ecosystem experience.
• CI/CD and DevOps experience.
• Strong system design skills.
• Fluent English communication.
• Experience leading technical decisions.

Highly Preferred

• AI-native development experience.
• Experience with Claude Code, Cursor, GitHub Copilot, Agentic engineering workflows.
• LLM integrations.
• AI product development.
• Multi-tenant SaaS architectures.
• RBAC & permissions systems.
• Stripe subscriptions and payment systems.

What Success Looks Like

• Products ship faster without sacrificing quality.
• AI is effectively integrated into engineering workflows.
• Infrastructure becomes more reliable and scalable.
• Developers move faster because of the systems you create.
• Technical decisions reduce complexity instead of adding it.
• Clients trust engineering leadership.

This Role Is Not For You If

• You prefer waiting for detailed specifications.
• You avoid ownership beyond your code.
• You dislike infrastructure and deployment responsibilities.
• You are uncomfortable speaking with clients.
• You believe AI coding tools are optional rather than foundational.

Why This Role Matters

The future belongs to engineering teams that know how to combine strong technical fundamentals with AI-native execution. We're looking for someone who can help define how modern software gets built inside Vizio AI.