Short Description

Responsible for building high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming applications. Support and/or install software applications. Key participant in the testing process through test review and analysis, test witnessing and certification of software.

Work Modality: Hybrid (3 days in office, 2 days work from home)

Location: Guadalajara, Jalisco.

Description Position Summary

The Senior Service Now Platform Engineer, AI and Automation will design, build, test, and operationalize secure, scalable, and maintainable solutions on the Service Now platform.

This role will serve as a senior technical contributor for Service Now development, AI-enabled workflows, orchestration, integrations, Dev Sec Ops, CI/CD, and automated testing. The individual will help establish the engineering patterns, reusable capabilities, and technical guardrails required to scale the platform responsibly across the enterprise.

A central focus of the role will be leading Service Now-based artificial-intelligence and automation efforts. This includes evaluating practical use cases, designing agentic and orchestrated workflows, integrating Service Now with enterprise systems, and ensuring that automation improves the user experience without introducing unnecessary complexity, unmanaged risk, or technical debt.

The successful candidate will combine technical depth with a value-engineering mindset. The role is not limited to delivering code. It requires an ability to understand the underlying business problem, develop the appropriate solution, instrument the capability,



and verify that the intended outcome was realized.

Qualifications and Competencies Core Responsibilities Service Now Engineering and Solution Development

- Design, configure, develop, test, deploy, and maintain high-quality Service Now solutions.

- Translate business needs into secure, scalable, supportable, and reusable technical designs.

- Develop applications, workflows, integrations, scripts, APIs, reusable components, and platform capabilities using established engineering standards.

- Evaluate feasibility by analyzing requirements, data flows, system interactions, dependencies, constraints, and proposed solutions.

- Define application interfaces, system responsibilities, deployment patterns, and nonfunctional requirements.

- Document solution designs, technical decisions, support models, operating procedures, and reusable engineering patterns.

- Partner with platform architects, product managers, administrators, cybersecurity teams, and business stakeholders to ensure that solutions align to enterprise standards.

AI Orchestration and Intelligent Automation
- Lead the engineering of Service Now-based AI, automation, and orchestration capabilities.

- Identify and develop practical AI-enabled workflows that reduce manual effort, improve decision quality,



accelerate response, and simplify the user experience.

- Design solutions that responsibly combine Service Now platform capabilities, AI services, enterprise data, integrations, APIs, and workflow automation.

- Evaluate agentic and human-in-the-loop patterns to determine where automation can safely act, where human approval is required, and where additional governance is necessary.

- Develop technical guardrails for security, privacy, auditability, explainability, reliability, and operational support.

- Ensure that AI-enabled solutions are designed around clearly defined business problems rather than novelty alone.

- Measure whether AI and automation capabilities reduce friction, improve outcomes, and create sustainable value.

Integrations, APIs, and Enterprise Connectivity
- Design, develop, and maintain integrations between Service Now and enterprise systems.

- Build and support REST-based integrations, web services, Integration Hub spokes, APIs, data exchanges, and event-driven workflows.

- Apply secure integration patterns, authentication standards, error handling, monitoring, logging, and recovery mechanisms.

- Partner with enterprise integration teams to align Service Now connectivity with broader architectural standards.

- Improve reuse by establishing common integration patterns, documentation, and technical accelerators.

- Ensure that integrations are observable, supportable, and designed to minimize avoidable operational overhead.

CI/CD, Automated Testing, and Built-in Quality
- Advance modern engineering practices across the Service Now platform, includ

📌 Senior Servicenow Platform Engineer, Ai And Automation (Jalisco)
🏢 Cummins Grupo Comercial y de Serviciosde C.V
📍 Jalisco