Lead AI Architect: Autonomous Enterprise Workflow Platform

Bitovi

United States

Remote

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
PTO
Final package depends on experience

Job summary

Very Big Things seeks a Lead AI Engineer to architect and build an enterprise workflow automation platform. You will partner with the CEO and leadership, owning architecture and delivering AI-enhanced solutions for enterprise customers.

Ideal candidates ship complex systems, lead senior engineers, and communicate clearly. You will deploy across the US, balancing autonomy with customer-focused delivery and rapid iteration.

Qualifications

  • 7+ years building production software across front-end and back-end.
  • 2+ years building with Generative AI in real products.
  • LLM-assisted development with prompts, testing, and safe outputs.
  • Strong security, RBAC/ABAC, data residency awareness.
  • Cloud + DevOps experience (Vercel/AWS/GCP/Azure), IaC.
  • Excellent client-facing communication and leadership.

Responsibilities

  • Design and build the core architecture for an enterprise workflow automation platform.
  • Make independent architectural decisions about stack and patterns.
  • Create robust APIs, integrations, and workflow engines.
  • Deploy virtually or on-site into US customer organizations.
  • Lead discovery sessions and rapid prototyping for requirements.
  • Iteratively integrate AI capabilities to add value.
  • Serve as the technical face of the company during engagements.

Skills

Architecture
Leadership
Generative AI
Cloud
CI/CD
Security
Client-facing
Prompt engineering
Observability
DevOps

Tools

Cursor
Claude Code
Windsurf
Copilot
Terraform
Pulumi

Job description

Very Big Things seeks a Lead AI Engineer to architect and build an enterprise workflow automation platform. You will partner with the CEO and leadership, owning architecture and delivering AI-enhanced solutions for enterprise customers.

Ideal candidates ship complex systems, lead senior engineers, and communicate clearly. You will deploy across the US, balancing autonomy with customer-focused delivery and rapid iteration.

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