Director Software Engineering

Director Software Engineering - Agentic AI Join UL Solutions as Director of Software Engineering, Agentic AI - AI Center of Excellence. We're building the future of intelligent software—and we need a visionary leader to drive it. As Director of Software Engineering, you’ll spearhead the creation of our AI Center of Excellence, powering the next-generation of our ULTRUS platform with Agentic AI, machine learning, and intelligent automation. This is your chance to shape strategy, architect scalable AI systems, and lead a world-class team transforming how customers interact with our SaaS solutions. You’ll collaborate across product, engineering, and business to deliver AI innovations that unlock new value from our data ecosystem and accelerate growth. We are seeking a visionary and technically accomplished Director of Software Engineering to lead the creation and growth of our AI Center of Excellence, driving innovation across our ULTRUS platform and SaaS solutions for our customers. As a strategic leader, you will guide the development of intelligent SaaS capabilities, infrastructure, and staff that will enhance user experience, automate workflows, and unlock new value from our data ecosystem. You’ll collaborate cross-functionally with product, engineering, business, global technology, and sales teams to ensure AI initiatives are aligned with customer needs and deliver business outcomes. Responsibilities Strategic Leadership Define and lead the AI strategy for our SaaS products and ULTRUS platform, ensuring alignment with business goals and customer value. Define and drive the technical roadmap for Agentic AI and platform development. Collaborate with cross-functional teams including Product, Sales, Software Engineering, and global technology to align engineering priorities with business goals. Partner with Business and sales leaders on customer discovery and demonstrate AI thought leadership to win customer deals. Foster a culture of technical excellence, innovation, and continuous learning across engineering teams. Technical Leadership Assume the role of AI technical expert in leading the architecting and development of scalable and secure AI infrastructure driving AI usage with seamless integration across our SaaS products and ULTRUS platform. Drive execution of multiple AI initiatives annually, including: Intelligent data extraction and classification Workflow and task automation Generative content and insights AI-assisted onboarding and customer support Research acceleration through intelligent agents Deploy AI solutions and leverage metrics to support predictions, recommendations, search, and data extraction strategies. Lead the design and implementation of Agentic AI models and algorithms, including evolving strategies and optimization techniques. Understand ethical implications of AI and ensure team develops responsible and fair solutions and systems for customers and ULS. Evaluate the technical feasibility of projects, make informed architectural decisions, and troubleshoot complex technical issues. Team Management Build, mentor, and lead a high-performing team of software and data engineers, ML Ops and AI specialists with strong cross-functional collaboration. Collaborate with the AI team, software engineering and product teams to translate business needs into technical deliverables for AI team. Foster a culture of innovation, collaboration, and continuous improvement. Manage resource allocation, performance reviews, and career development. Operational Excellence Oversee project timelines, budgets, deliverables and mitigate risks. Implement metrics to measure system performance, reliability, and scalability. Ensure compliance with data privacy, security, and ethical AI standards. Ensure engineering best practices in software development, testing, and deployment in delivery of AI solutions. Work with legal team and AI committee to facilitate AI use case approval and compliance with ULS AI policy. Business Acumen Translate complex concepts into clear, actionable insights that align with strategic goals. Articulate the value and limitations of AI projects to non-technical stakeholders. Understand the markets we play in and our competitors, collaborate with product and innovation leaders on AI opportunities to create differentiated value for customer and business. Community Development Build and nurture a technically sophisticated AI user community around the ULTRUS platform. Develop resources, documentation, and engagement strategies to support external developers, researchers, and partners. Host technical forums, webinars, and workshops to share knowledge and gather feedback. Encourage open-source contributions and foster collaboration across the AI ecosystem. Qualifications University Degree (Equivalent to Bachelor's degree) in Computer Science or a related discipline. Generally, 15 Years or more of related discipline experience or demonstrated competency including 10 Years or more of relevant management/leadership experience. Proven expertise in software development, with a strong focus on AL/ML technologies, such as Agentic AI, Generative AI, machine learning concepts, deep learning, predictive learning data engineering concepts, MLOps, CI/CD pipelines, and DevSecOps practices. Understanding cloud infrastructure (AWS, GCP, Azure), microservices architecture, platform engineering, and how to scale AI applications. Demonstrated experience in building and engaging technical communities. Excellent communication, leadership, and stakeholder (both technical and non-technical) management skills. Experience in regulatory and sustainability industries is a plus. Prior experience successfully leading in a matrixed organizational structure. Outstanding motivational and coaching abilities; a team builder and leader; ability to inspire an organization to reach superior levels of performance. Innovative and resourceful problem solver with a strong entrepreneurial mindset. Proven ability to be firm and decisive in addressing difficult issues and can operate effectively in fast paced and demanding environments. Deep understanding of AI data policy, governance, and ethical risk—ensuring models are built responsibly, with attention to fairness, transparency, and bias mitigation. They will help shape UL’s standards for safe and explainable AI, aligning technical execution with regulatory compliance and long-term trust. Deep expertise in building and scaling AI-powered SaaS applications that deliver measurable business impact. Contributions to open-source AI projects or published research in Agentic AI, preferred. 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. About The Team When you combine the gravitas of a 130-year-old safety science leader with a culture of innovation that pushes the boundaries in new services and technology, you get UL Solutions. As a global team of business and engineering experts, we develop software for a huge range of industries, including medical, sustainability, renewable energy and healthy buildings. Together, we’re dedicated to making a real-world difference, to using our knowledge for good and to pioneering positive change. Join our team and use your expertise to transform global safety, security and sustainability. #J-18808-Ljbffr