Senior AI Automation Engineer

Transformcap; Tijuana; Presencial; MXN 1.045.478 - 1.568.217; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Variable pay

Health and fitness benefits

Employee Assistance Program

Childcare subsidy

Descripción de la vacante

Transformcap is looking for a hands-on AI & Automation Engineer responsible for designing and optimizing advanced AI workflows and automations that enhance business operations.

This role requires expertise in platforms like Salesforce and Workato, and involves responsibilities such as maintaining scalable systems, data management, and integrating AI capabilities.

We offer a competitive salary, variable pay, and a comprehensive benefits package including health support and discounts.

Formación

• 5+ years of experience in integration, automation, AI, or software engineering.
• Hands-on experience with Workato for at least 1 year.
• Deep proficiency in designing and implementing AI workflows across core platforms.

Responsabilidades

• Design, build, and maintain Workato automations for various platforms.
• Architect multi-agent systems and implement error recovery.
• Automate data flow processes for AI retrieval insights.

Conocimientos

Integration expertise

Automation development

AI workflow architecture

Programming in Python

Problem solving

Educación

5+ years of experience in relevant fields

Herramientas

Workato

Salesforce

NetSuite

Snowflake

Python

Descripción del empleo

About the Role

We are seeking a hands‑on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our enterprise business operations. The engineer will own the Workato automation stack, engineer scalable AI workflows on top of core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement agentic capabilities that allow systems to act as intelligent tools, reducing manual work and accelerating insights.

Responsibilities

Integration & Automation Development

• Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
• Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

• Architect multi‑agent systems: tool selection, planning loops, state management, and human‑in‑the‑loop checkpoints.
• Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc.) as agent‑callable tools, not just data sources.
• Build guardrails, fallbacks, and error recovery for non‑deterministic workflows.

Data/RAG Pipeline Design & Management

• Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms.
• Create evaluation mechanisms for precision, answer faithfulness, latency, and cost.
• Own the Retrieval‑Augmented Generation (RAG) lifecycle end‑to‑end: ingestion, chunking strategy, embeddings, vector storage, and reranking.
• Implement data quality checks and architectural safeguards to ensure trusted, high‑fidelity datasets for AI agents.

AI Operations

• Maintain production observability: prompt/response tracing, cost monitoring, and evaluation dashboards.
• Document agent behavior, decision logic, and failure modes.
• Conduct A/B testing of agent versions and model comparisons.

Programming for Automation

• Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

• Apply data governance practices for lineage, security, and retention.
• Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.

Qualifications

• 5+ years of experience in integration, automation, AI, or software engineering, with at least 1 year hands‑on in Workato.
• Proven expertise with Enterprise iPaaS (Workato, Mulesoft, or similar).
• Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake).
• Hands‑on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high‑fidelity enterprise systems.
• Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval‑Augmented Generation (RAG).
• Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments.
• Experience with cloud platforms such as GCP or AWS preferred.
• Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
• Strong problem‑solving, critical thinking, and ability to execute under minimal supervision.
• Motivated to learn new technologies and develop new skills.
• Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
• Workato Automation Pro, Foundations or SnowPro certifications preferred.

Benefits

• Competitive salary based on experience and geographic zone.
• Variable pay and a robust benefits package.
• Work‑from‑home basics and office equipment discounts.
• Health and fitness benefits such as Gympass access.
• Employee Assistance Program for mental health support.
• Childcare subsidy and university/education discounts (where available).

Equal Opportunity Employer

We are an equal‑opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.