Very Big Things

AI Engineer

• Design and build the core architecture for an enterprise workflow automation platform
• Make critical technical decisions about stack, architecture patterns, and implementation independently
• Create robust APIs, integrations, and workflow engines adaptable to diverse enterprise needs
• Deploy virtually or on-site into customer organizations across the US
• Conduct discovery sessions to understand workflows and requirements
• Rapidly prototype and build custom solutions tailored to each enterprise
• Iteratively integrate AI capabilities to enhance automation and drive value
• Act as the technical face of the company during customer engagements
• Work autonomously with minimal oversight from CEO and leadership
• Make architectural decisions and push back constructively when needed
• Move fast, ship quickly, and iterate.

Lead AI Engineer

Artificial Intelligence

• Lead complex, high-impact client engagements end-to-end—from discovery and value targeting through launch and scale-up—anchored to business KPIs.
• Facilitate executive workshops; identify high-leverage use cases; craft AI adoption roadmaps that deliver value in a quarter and compound thereafter.
• Work in lockstep with a senior technical lead to define scope, cut clean iterations, and de-risk delivery across data, integration, and security constraints.
• Orchestrate change-management, training, and communications; design workflows that stick; establish governance, playbooks, and measurement.
• Define success metrics, baselines, and experiment designs; build dashboards and run regular business reviews with client sponsors.
• Synthesize complex ideas into clear narratives for C-suite executives and frontline operators; create decision-ready briefs and visuals.
• Mentor peers, standardize repeatable approaches (AI Sprints), and contribute to internal methods and reusable components.

Lead AI Engineer

Lead AI Strategist