AI Process Engineer

Muttdata; Argentina; Hybrid; ARS 50,000 - 70,000; Full time

Benefits offered by this job

Remote-first culture

In-Company English Lessons

Sports club stipend

Certifications fully covered

Food credits

Birthday off + an extra vacation week

Referral bonuses

Annual team trip

Job summary

Muttdata is looking for a process consultant to join their Operational AI transformation unit, HABIT. You will co-facilitate workshops with clients to map processes and document operations accurately.

This role requires 3-5 years of consulting experience, along with fluency in both Spanish and English. Moreover, as part of the job, you’ll work with AI agents to optimize operational processes across the region, including Argentina and other Latin American countries.

Enjoy a remote-first culture and various perks including English lessons and food credits!

Qualifications

• 3–5 years in process consulting, operations, or digital transformation.
• Ability to map complex operational processes.
• Experience facilitating workshops with senior stakeholders.

Responsibilities

• Co-facilitate diagnostic workshops with clients.
• Lead process mapping and build business cases.
• Document client processes with engineering-level precision.
• Design AI agent blueprints for each project.

Skills

Process consulting

Operational mapping

Client facilitation

Bilingual (Spanish and English)

AI tool integration

Tools

RPA tools (Zapier, n8n)

ERP systems (SAP, Oracle)

Cloud platforms (AWS, Azure)

Job description

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.

Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!

What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

Our Values

• We are Data Nerds
• We are Open Team Players
• We Take Ownership
• We Have a Positive Mindset

Responsibilities

• 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.

Required Skills

• 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.

Strongly Valued

• 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.

Perks

• Remote-first culture – work from anywhere!
• In-Company English Lessons.
• Wellhub or sports club stipend to stay active.
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• Food credits via Pedidos Ya – because great work deserves great food.
• Birthday off + an extra vacation week (Mutt Week!)
• Referral bonuses – help us grow the team & get rewarded!
• Annual Mutters' Trip – an unforgettable getaway with the team!