AI & Data Applications Engineer — Data, AI & Automation

Flex

Guadalajara, MexicoPosted about 1 month agoDiscoveredMatch locked

Data and Analytics

About the role

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary Summary:

Developer Application

located in

Guadalajara, North Campus

. We are seeking an

AI Applications Engineer

to design, build, and maintain AI-powered applications that automate workflows and unlock business insights across the organization. This role sits within the Business Intelligence function and combines

AI application development with data engineering and reporting responsibilities

, ensuring continuity of existing systems while accelerating adoption of modern AI capabilities. The ideal candidate is an engineer who enjoys building real systems, working close to data, and applying AI to solve meaningful business problems in a collaborative, fast-paced environment. What a typical day looks like: •

Design and develop AI-powered applications

that automate business workflows and enhance data accessibility. •

Build and maintain internal tools that integrate AI capabilities

with enterprise systems, databases, and APIs. •

Maintain and extend existing internal applications

, , including three production systems-one of them legacy and undocumented-and two Ruby applications connected to Snowflake and other enterprise databases. •

Work within Linux-based environments

to deploy, maintain, and troubleshoot applications. •

Connect to and manage remote systems

using secure protocols.

Reverse engineer existing systems when documentation is limited and identify opportunities for improvement.

•

Collaborate

with the Business Intelligence team, analysts, and business stakeholders to translate business needs into technical solutions. •

Communicate technical concepts

clearly to both technical and non-technical audiences. •

Continuously explore new AI tools,

frameworks, and approaches to improve productivity and solution capabilities. •

Engineering degree required.

Candidates must have formal engineering training with a strong foundation in analytical thinking, mathematics, and structured problem solving.

Demonstrated ability to break down complex technical problems and design practical solutions, with a clear understanding of the business implications of those solutions.

•

Fluent spoken and written English required.

Candidates must be comfortable discussing technical and business topics with stakeholders across the organization, including senior leadership.

The experience we're looking to add to our team (required)

English Intermediate - Advanced.
Typically requires a Bachelor's degree or equivalent systems experience.

•

Engineering degree required

(Computer Science, Software Engineering, Data Engineering, or related field).

Strong analytical mindset with demonstrated ability to break down complex problems and deliver practical solutions.
Ability to understand business context and design solutions with clear business impact.
Strong communication skills with ability to interact effectively with both technical and business stakeholders.
Fluent spoken and written English required.

AI & Automation

Hands-on experience building AI-powered applications, automation workflows, or intelligent tools.
Experience working with LLM APIs, generative AI platforms, or AI-assisted development tools.
Familiarity with tools such as: • Copilot Studio
Cortex AI
Workflow automation tools (e.g., N8N or similar)

Ability to design and implement AI-driven solutions integrating multiple systems and data sources.

Data & BI Engineering

Strong SQL expertise: • Writing and optimizing complex queries
Working with stored procedures, views, and large datasets

Experience developing and maintaining ETL processes and data pipelines (SSIS or similar tools).
Experience with enterprise reporting tools (SSRS or comparable platforms).
Understanding of data modeling concepts, data flows, and enterprise data environments.
Experience preparing structured data for analytics, reporting, and AI use cases.

Software Engineering & Systems

Experience building applications using Python, Ruby, or similar modern programming languages.
Experience integrating systems via APIs and enterprise data platforms.
Strong working knowledge of Linux environments for development and deployment.
Experience managing remote systems and servers using SSH.
Familiarity with platforms such as Snowflake or similar data stacks is a plus.

What you'll receive for the great work you provide

Competitive Salary
Life & Medical Insurance
Christmas Bonus
Food Coupons
Saving Fund.
Life Insurance

HS115

Job Category

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Not included in the source posting: about the role, benefits.

Skills

artificial-intelligencelinuxrubysnowflakeetlgenerative-aillmpythonsql

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.