PepsiCo Jobs

Title As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain Complexity of Role High The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability Location Location, confirmed job EEO Statement Please view our Pay Transparency Statement Salary Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents Making Autonomy Moderate Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager Supervision Required Moderate Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support Compensation & Benefits The expected compensation range for this position is between $106,400 related skills, experience, and education will be considered in setting actual starting salary Your recruiter can share more about the specific salary range during the hiring process Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility Job Description Overview specific AI agents and solutions Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross domain AI solutions that deliver actionable insights and perform intelligent tasks AI Development (40%) Prototyping, iterating, and taking to production domain specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions Writing and optimizing code for high performance AI models Develop an actionable Generative AI roadmap and drive solution development using Gen AI and Agentic AI capabilities Collaboration with Teams (20%) Work closely with AI platform teams to build scalable and cross domain AI agents while ensuring end to end observability Integration & Deployment (20%) Lead AI projects, demonstrating hands Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance Continuous Learning (20%) Decision Cross $178,100 Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan Education Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field Proficiency in programming languages such as Python, Java, or C++ g , Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud) Excellent analytical, problem Ability to work collaboratively in a cross 4919, commonly referred to as the San Francisco Fair Chance Ordinance and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance PepsiCo is an Equal Opportunity Employer Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity View PepsiCo EEO Policy Responsibilities • Responsibilities • Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions • Functional Interactions Yes • Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment • Functional team environment Requirements • On experience in code development and software engineering • Qualifications • Experience • Proven experience in leading AI projects with hands • On experience in code development and software engineering • Overall experience of 7 to 9 years • Required Expertise • Experience and working knowledge with Agentic AI frameworks (e • Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies • Solving, and communication skills • Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 Benefits • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status About If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents