UL Solutions

www.ul.com

2 Jobs

13,791 Employees

About the Company

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.

Listed Jobs

Company Name: UL Solutions
Job Title: AI Platform Lead
Job Description: **Job Title:** AI Platform Lead **Role Summary:** Lead the design, governance, and scalability of an enterprise AI platform, ensuring reliable and secure deployment of AI/ML systems. Foster cross-functional collaboration to align platform capabilities with business goals and regulatory standards. **Expectations:** - Architect and own the strategic direction of AI platform infrastructure. - Implement governance, security, and compliance frameworks. - Drive innovation through emerging AI paradigms and scalable solutions. **Key Responsibilities:** 1. Define and manage AI platform reference architectures, standards, and governance policies. 2. Oversee AI/ML system lifecycle, including model development, deployment, retraining, and observability. 3. Partner with business stakeholders, cybersecurity, and compliance teams to align platform strategies. 4. Establish platform metrics (KPIs/SLAs/SLOs) for performance, cost, and availability. 5. Guide teams in responsible AI practices, including bias mitigation, model governance, and secure SDLC. 6. Mentor technical teams on AI/ML engineering, platform architecture, and operational excellence. 7. Enable enterprise-wide adoption of reusable platform services and integration patterns. **Required Skills:** - Expertise in AI/ML platform design, scalable architecture, and system reliability engineering. - Proficiency in AI governance, security frameworks, and compliance (Responsible AI, LLM safety). - Experience with agentic workflows, RAG/Graph-RAG pipelines, and knowledge-graph technologies. - Strong leadership in cross-functional collaboration and technical mentorship. - Knowledge of observability tools, cost-optimization strategies, and cloud-native platforms. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or Machine Learning. - Advanced degrees (Master’s/PhD) or certifications in AI/ML preferred but not mandatory.

Company Name: UL Solutions
Job Title: Cloud Security Engineer
Job Description: Job title: Cloud Security Engineer Role Summary: Design, implement, and maintain secure cloud and application architectures across Azure, AWS, and GCP. Lead DevSecOps integration, threat modeling, and compliance mapping to frameworks such as NIST 800‑53, SOC 2, and CIS Controls. Expectations: Remote working across the U.S. with optional on‑site presence 3 days a week. Operate independently while collaborating with IAM, SOC, GRC, and development teams. Deliver secure code reviews, CI/CD pipeline hardening, and remediation guidance. Key Responsibilities: - Architect and enforce security controls for multi‑cloud environments (hub‑and‑spoke, Zero Trust). - Integrate cloud security tools (Wiz, Microsoft Defender for Cloud, Silverfort) and IaC (Terraform, Bicep). - Conduct threat modeling, risk assessments, and vulnerability scans for cloud‑native services. - Perform secure code reviews, static/dynamic analysis, and OWASP Top 10 compliance. - Embed security into CI/CD pipelines using Snyk, Checkmarx, Veracode. - Design API security (OAuth2, OpenID Connect, mTLS) and support incident response. - Map controls to NIST 800‑53, SOC 2, CIS; assist audits and evidence collection. - Maintain documentation of architecture, policies, and procedures. Required Skills: - 3–4 years cloud security engineering and application security experience. - Deep knowledge of Azure security services, IAM, Azure AD Conditional Access, MFA. - Proficiency with Terraform, Bicep, and IaC practices. - Familiarity with Snowflake security features and data protection strategies. - Experience with DevSecOps tools, automation, and orchestration. - Strong analytical, problem‑solving, communication, and collaboration abilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Cybersecurity, or related field. - Preferred certifications: Azure Security Engineer Associate, CISSP, CCSP, OSCP, or GIAC. - Experience in multi‑subscription Azure environments and Zero Trust architecture.