Job Description
Job Description
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-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.
Responsibilities
- 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%)
- Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains.
- 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-on experience in code development and software engineering.
- Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance.
- Continuous Learning (20%)
- Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents.
- Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions.
- Decision-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.
- 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.
- Cross-Functional Interactions Yes – Regular interaction with Data Science,
- Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.
Compensation & Benefits:
- The expected compensation range for this position is between $106,400 - $178,100.
- Location, confirmed job-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.
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
- In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- Experience: Proven experience in leading AI projects with hands-on experience in code development and software engineering.
Required Expertise:
- Proficiency in programming languages such as Python, Java, or C++.
- Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud).
- Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a cross-functional team environment.
- Technical Proficiency: Deep understanding of new technologies, GenAI algorithms and Agentic tools.
- Problem-Solving: Ability to translate business challenges into technical solutions.
- Collaboration Skills: Effective at working within cross-functional teams.
- Agility: Flexibility to adapt to changing requirements and new technologies.
- Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders.
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