Director Software Engineering - Agentic AI

Director Software Engineering - Agentic AI

Join UL Solutions as Director of Software Engineering, Agentic AI – AI Center of Excellence. We are 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.

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…