AI Process Engineer

🚀 Join MuttData – Building the Future with Data & AI! 🚀

MuttData is an AI and Data consulting company dedicated to helping organizations turn data into business impact through Artificial Intelligence, Machine Learning, Data Engineering, and Analytics. We are an AWS Advanced Consulting Partner, Databricks Silver Partner, and the LATAM AI Partner of the Year 2025, with 300+ projects delivered and a team of 200+ experts across LATAM and the US.

 

HABIT is MuttData's Operational AI transformation unit. Its mission is to help companies transform their most critical operational processes by deploying AI agents directly into production. Rather than delivering consulting engagements or proofs-of-concept, HABIT measures the business impact of operational challenges using the customer's own data and delivers production-ready AI solutions in under 60 days with measurable results.
We work with mid-to-large enterprises across Mexico, the US, and Latin America, primarily in retail, distribution, logistics, financial services, and manufacturing. 🚀

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Astronomer

Databricks

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Co-facilitate diagnostic workshops (Mini-H) with prospective clients alongside the CEO: map processes, build impact baselines, produce AS-IS and TO-BE flow diagrams.

Lead the AS-IS process mapping block of each workshop — steps, owners, systems, handoffs, failure points.

Build the business case (baseline + TO-BE agentized) that underpins every VAP proposal.

Qualify leads between the initial meeting and the workshop: confirm problem, interlocutor authority, and willingness to act.

Run the Hypothesis phase of each VAP: map financial and operational opportunity drivers, score by impact × feasibility × speed, select the first deployment target.

Document client processes with engineering-level precision: inputs, outputs, owners, systems, data flows, exception handling.

Design the AI agent blueprint for each VAP: what the agent does, what data it needs, how it integrates, what the human touchpoints are.

Manage delivery cadence: daily standups, weekly deep-dives, biweekly steering sessions.

Build and maintain standard templates for Mini-H facilitation, AS-IS mapping, and VAP scoping.

Travel to client sites (up to once per month, depending on project needs) to facilitate in-person operational workshops and conduct operational process mapping. Initial focus will be on clients in Chile, Paraguay, Argentina, Central America, and Mexico.

3–5 years in process consulting, operations, business analysis, or digital transformation with direct client exposure.

Demonstrated ability to map complex operational processes and turn them into structured technical documentation.

Experience facilitating workshops or structured interviews with senior stakeholders (managers, directors, C-suite).

Fluent in Spanish and English — clients operate in both languages.

Genuine, daily use of AI tools (LLMs, generative AI, AI-assisted workflows) — not casual, integrated into how you produce work.

Comfortable in ambiguous, early-stage environments where the process is built while executing it.

Hands-on experience with process automation: RPA, Make, Zapier, n8n, API integrations, no-code/low-code tools.

Practical understanding of how AI agents work: what they can and can't do, how they integrate into business workflows.

Experience with enterprise data systems: ERP (SAP, Oracle, Dynamics), CRM (Salesforce, HubSpot), WMS.

Cloud platform knowledge (AWS, Azure, or GCP) — meaningful asset given our tech stack.

Databricks familiarity — direct advantage given our Silver Partnership.

Industry experience in retail, distribution, logistics, finance, or manufacturing.

Basic Python or SQL — you don't need to be an engineer, but being able to read a query expands what you can do independently.