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 ServiceNow Platform Engineer, AI and Automation will design, build, test, and operationalize secure, scalable, and maintainable solutions on the ServiceNow platform.

This role will serve as a senior technical contributor for ServiceNow development, AI-enabled workflows, orchestration, integrations, DevSecOps, 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 ServiceNow-based artificial-intelligence and automation efforts. This includes evaluating practical use cases, designing agentic and orchestrated workflows, integrating ServiceNow 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

ServiceNow Engineering and Solution Development

- Design, configure, develop, test, deploy, and maintain high-quality ServiceNow 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 ServiceNow-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 ServiceNow 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 ServiceNow and enterprise systems.
- Build and support REST-based integrations, web services, IntegrationHub 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 ServiceNow 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 ServiceNow platform, including source control, CI/CD, DevSecOps, automated testing, code reviews, release governance, and deployment traceability.
- Expand automated testing coverage using appropriate platform

📌 Senior ServiceNow Platform Engineer, AI and Automation (Ciudad de México)
🏢 Cummins México
📍 Ciudad de México