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
Software Engineering
Cloud, DevOps & MLOps
Evaluation & Continuous Improvement
Collaboration & Ways of Working
QUALIFICATIONS
Preferred Qualifications
#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.
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
Jacqueline
Senior Software Sales Executive
Min
Software Product Manager
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Shubhankar
Sr. Data Scientist
Anthony
IT Technical Specialist
Emily
Software Solution Architect
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Ebony
Project Manager
Michael
Senior Director IT, Business Enablement
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UL Solutions Compensation & Benefits Highlights
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Strong & Reliable Incentives — Incentive pay is positioned as broad-based, with UL stating all employees are eligible for an annual performance bonus across regions. This universal design creates a consistent incentive foundation regardless of role or country.
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Retirement Support — Retirement offerings are described as strong, featuring a 401(k) with matching up to a total 5% and an additional 4% company retirement contribution after the first year in U.S. materials. Employees also reference access to an employee stock purchase plan in the U.S. and many major operating regions.
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Healthcare Strength — Health coverage breadth includes medical, dental, and vision with U.S. plans noting the company pays over 75% of medical premiums and offers PPO and HDHP options. Supportive programs like FSAs/HSAs, disability, life insurance, EAP, and mental‑health resources are frequently cited.
UL Solutions Insights
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The Company
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.
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UL Solutions Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Depending on the role we offer hybrid or remote opportunities.
Typical time on-site:
Flexible
