UL Solutions Jobs

AI Developer - Remote

UL Solutions

AI Developer - Remote

Posted 3 Hours Ago

Hiring Remotely in São Paulo, BRA

Remote or Hybrid

Mid level

Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy

Our mission is to make the world a safer, more secure and sustainable place.

The Role

Design, build, deploy, and maintain production-ready AI and Generative AI solutions on Azure. Implement MLOps, CI/CD, IaC, containerized deployments (Docker/Kubernetes/Helm), document intelligence and RAG pipelines, monitor model lifecycle and performance, and collaborate with cross-functional teams to align solutions with business goals.

Summary Generated by Built In

JOB DESCRIPTION
The AI Developer is responsible for designing, building, deploying, and supporting AI-powered solutions that deliver measurable business value across core business functions. This role combines software engineering, cloud infrastructure, MLOps, and Generative AI expertise to create scalable, production-ready applications and services.
Working closely with product teams, engineers, and business stakeholders, the AI Developer will own initiatives from concept through deployment, ensuring solutions are secure, reliable, maintainable, and aligned with business objectives.
The ideal candidate is highly hands-on, passionate about building real-world AI solutions, and experienced in deploying AI, machine learning, and Generative AI applications in cloud environments using Azure and modern DevOps practices.
This position is remote for Brazil.
RESPONSIBILITIES
AI Solution Development

Design, develop, deploy, and maintain production-ready AI and machine learning solutions.
Translate business challenges into scalable AI-enabled applications and services.
Build and integrate AI capabilities into enterprise systems and business workflows.
Develop Generative AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
Implement document intelligence and document-to-data processing pipelines.

Software Engineering

Develop clean, maintainable, and well-tested Python applications following software engineering best practices.
Apply object-oriented design principles and scalable architecture patterns.
Contribute to reusable frameworks, libraries, and technical standards.
Design and support distributed and cloud-native applications.

Cloud, DevOps & MLOps

Build and maintain CI/CD pipelines for AI applications and supporting infrastructure.
Implement Infrastructure as Code (IaC) practices.
Deploy, monitor, and manage AI models and services in production environments.
Configure cloud monitoring, logging, alerting, dashboards, and observability tools.
Support model lifecycle management, performance monitoring, and operational reliability.
Manage containerized solutions using Docker, Kubernetes, and Helm.
Leverage Azure cloud services to build scalable AI platforms and solutions.

Evaluation & Continuous Improvement

Implement testing, evaluation, and experimentation frameworks for AI solutions.
Measure solution effectiveness through defined business and technical metrics.
Apply A/B testing and other evaluation methodologies where appropriate.
Continuously optimize solutions based on monitoring, feedback, and business outcomes.

Collaboration & Ways of Working

Partner with cross-functional teams to deliver business-aligned AI solutions.
Communicate complex technical concepts to both technical and non-technical audiences.
Participate in architecture reviews, solution design sessions, and technical discussions.
Support and mentor team members through knowledge sharing and collaboration.
Demonstrate strong alignment with UL Solutions' Ways of Working, fostering trust, accountability, and continuous improvement.

QUALIFICATIONS

Bachelor's degree in Computer Science, Data Science, Software Engineering, Data Analytics, or related field.
Strong Python development experience.
Experience building and deploying AI or machine learning solutions into production.
Experience with cloud platforms (Azure preferred).
Experience with Azure DevOps and CI/CD pipeline development.
Experience with Infrastructure as Code (IaC).
Experience with MLOps practices and model lifecycle management.
Experience deploying and supporting scalable distributed systems.
Experience working with APIs and enterprise system integrations.
Experience with Docker, Kubernetes (K8s), and Helm.
Understanding of software architecture, design patterns, and engineering best practices.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Experience working within Agile product development environments.

Preferred Qualifications

Experience with:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI frameworks
Generative AI applications
Document Intelligence solutions
Azure certifications.
Experience designing enterprise AI platforms and architectures.
Experience implementing AI evaluation frameworks and experimentation methodologies.
Knowledge of responsible AI, security, governance, and compliance practices.
Experience mentoring or providing technical guidance to other engineers.

#LI-BD1
#LI-Remote
ABOUT US
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

Skills Required

Bachelor's degree in Computer Science, Data Science, Software Engineering, Data Analytics, or related field.
Strong Python development experience.
Experience building and deploying AI or machine learning solutions into production.
Experience with cloud platforms (Azure preferred).
Experience with Azure DevOps and CI/CD pipeline development.
Experience with Infrastructure as Code (IaC).
Experience with MLOps practices and model lifecycle management.
Experience deploying and supporting scalable distributed systems.
Experience working with APIs and enterprise system integrations.
Experience with Docker, Kubernetes, and Helm.
Understanding of software architecture, design patterns, and engineering best practices.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Experience working within Agile product development environments.
Experience with Large Language Models (LLMs).
Experience with Retrieval-Augmented Generation (RAG).
Experience with Agentic AI frameworks.
Experience building Generative AI applications.
Experience with Document Intelligence solutions and document-to-data pipelines.
Azure certifications.
Experience designing enterprise AI platforms and architectures.
Experience implementing AI evaluation frameworks and experimentation methodologies.
Knowledge of responsible AI, security, governance, and compliance practices.
Experience mentoring or providing technical guidance to other engineers.

What the Team is Saying

UL Solutions Compensation & Benefits Highlights

Retirement Support — The 401(k) program is portrayed as strong, with a notable employer match and an additional company contribution after the first year that enhances long‑term savings. This structure is consistently highlighted as a differentiator in the total rewards mix.
Healthcare Strength — Medical coverage is characterized by multiple plan options administered by a major carrier and a substantial employer cost share, alongside dental, vision, and mental‑health/EAP resources. The breadth of choices and supportive programs underscore a comprehensive health offering.
Leave & Time Off Breadth — PTO with sick time, floating holidays, and dedicated paid volunteer days are emphasized, along with paid parental bonding and family‑care leave. Flexible work arrangements by role further increase the practical utility of time‑off benefits.

Learn more about UL Solutions's Compensation & Benefits →

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The Company

HQ: Chicago, IL

15,000 Employees

Year Founded: 1894

What We Do

A global leader in applied safety science, UL Solutions transforms safety, security and sustainability challenges into opportunities for customers in more than 100 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Certification Marks serve as a recognized symbol of trust in our customers’ products and reflect an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

Why Work With Us

Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion and excellence.