enterprise ai engineer

Enterprise AI Engineer for Production AI Systems

Enterprise AI engineering for teams that need production-grade AI systems, workflow automation, agent architecture, and integration with real business platforms.

Production AI architecture

Enterprise AI engineering turns a promising use case into a reliable system with boundaries, integrations, evaluation, monitoring, and release discipline.

Agent workflow implementation

Implementation includes tool use, memory, prompts, approvals, fallback behavior, state management, and operational metrics.

Integration with enterprise systems

AI systems need clean integration with APIs, databases, document stores, identity providers, queues, CRMs, ERPs, and legacy applications.

Security and governance

Engineering decisions must protect data, limit permissions, preserve auditability, and keep human control where business risk requires it.

Evaluation and reliability

Reliable AI systems need test cases, golden datasets, acceptance criteria, regression checks, and monitoring that reflects business outcomes.

From prototype to rollout

The path to rollout moves through discovery, prototype, operational validation, stakeholder review, production hardening, and continuous improvement.

/ contact

Whether you're a founder, investor, or tech leader, let's connect.

Client / Customer

Engage Mario for Your AI Initiative

A seasoned AI engineer and enterprise architect on your side, from strategy to production deployment.

Schedule a Discovery Call

Limited availability: accepting two new clients per month.

Investor / Partner

Explore Partnership Opportunities

Building something at the intersection of AI and enterprise? Let's explore what's possible together.

Send a Message

CTO / Tech Leader

Let's Talk Architecture

Modernizing a platform? Evaluating AI adoption? I've been in the trenches. Let's talk.

Connect on LinkedIn

Scheduling a call does not constitute a commitment. All proposals are reviewed and accepted solely at Mario Mayerle's discretion, based on content quality and alignment with his professional focus areas.