• Provide reliability engineering support for operations and maintenance of buildings, infrastructure, and equipment assets • Implement strategic asset management plans that integrate client existing systems including building automation, energy management, maintenance programs, and life-cycle asset management approaches • Develop analysis methods to determine reliability of components, equipment, and processes in accordance with JLL's enhanced Reliability & Asset Management program • Conduct ongoing maintenance maturity assessments, overseeing root cause failure analysis of equipment failures • Support execution of site level Asset Management & Reliability programs and processes

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. • Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap. • Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. • Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. • Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. • Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. • Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

• Deliver an exceptional partner experience by providing technical expertise, scoping use cases, and supporting the development of Apps in ChatGPT and commerce checkout experiences with technical stakeholders and strategic partners. • Partner with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and high-impact launches. • Guide partners on best practices for leveraging the OpenAI API and ChatGPT to create secure, scalable, and differentiated experiences. • Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed. • Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges. • Gather partner feedback and represent the voice of the ecosystem to internal teams, helping shape product roadmaps and future partner programs.

• Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. • Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. • Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. • Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. • Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. • Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. • Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. • Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.