Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. You are part of a team that experiments with cutting-edge technologies, delivering solutions revealed as a result of the testing and learnings, and developing strong partnerships to enable growth through innovation and agile methodologies. How you will contribute The Senior Director, AI Product & Engineering owning the technical architecture, engineering execution, and productization of enterprise AI capabilities. This role is accountable for designing, building, validating, and scaling AI solutions through a repeatable factory model that accelerates time-to-value while meeting enterprise standards for security, reliability, and responsible AI. The Senior Director, AI Product & Engineering, partners closely with the AI Product & Account Management function, which owns business problem definition and value articulation. They collaborate on portfolio prioritisation and product releases. This role owns the technical product architecture, engineering execution, and scalability of AI solutions. Core responsibilities: - Build and lead senior AI engineering and platform teams - Coach AI Tech Leads and Principal Engineers - Set the technical bar for enterprise AI delivery excellence - Lead AI engineering teams responsible for rapid prototyping, MVP development, and AI platform services - Drive hands-on technical decision-making across model selection, architecture trade-offs, and cost/performance optimization - Ensure strong engineering discipline: code quality, testing, documentation, and observability - Establish AI platform services, including model access, orchestration, experimentation, and monitoring - Define standards for release management, performance tracking, and incident response in accordance with Mondelez existing practices - Operate level 2/3 technical support for production operations teams - Own technical readiness gates for scaling AI solutions, including security, reliability, and cost controls in accordance with the enterprise technology readiness and release methodologies - Partner with IT and GBS to transition AI solutions into enterprise run models - Provide post-go-live stabilization support What you will bring A desire to drive your future and accelerate your career. You will bring experience and knowledge in: - 12+ years in software engineering, data platforms, or AI/ML with senior leadership experience - Deep experience with GenAI, agentic AI, cloud AI platforms, and MLOps tools in a heterogeneous infrastructure environment - Proven track record in building scalable platforms and reusable systems through agile delivery teams - Strong leadership experience through complex challenges and developing creative solutions - Familiarity with the fast-moving consumer goods or related sector - Driving for results and Analytical Skills - Technical expertise and a passion for innovation, understanding a variety of disruptive technology products and services - Technical and business acumen to evaluate opportunities with internal and external partners - Project management, including knowledge of Agile Relocation Support Available? No Relocation support available Business Unit Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our succes Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER Job Type Regular Digital Strategy & Innovation Technology & Digital

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational biology problems that simulate real biology research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; - Base problems on real research challenges or practical applications from biology practice; - Verify solutions using Python with standard computational biology libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Biology or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with biological data analysis and algorithms; - Familiarity with bioinformatics tools and computational methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational biology problems that simulate real biology research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; - Base problems on real research challenges or practical applications from biology practice; - Verify solutions using Python with standard computational biology libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Biology or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with biological data analysis and algorithms; - Familiarity with bioinformatics tools and computational methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational biology problems that simulate real biology research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; - Base problems on real research challenges or practical applications from biology practice; - Verify solutions using Python with standard computational biology libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Biology or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with biological data analysis and algorithms; - Familiarity with bioinformatics tools and computational methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.