PepsiCo is looking to transform its strategies by designing and developing domain-specific AI agents and solutions that can perform intelligent tasks and deliver actionable insights.
Requirements
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.
Proven experience in leading AI projects with hands-on experience in code development and software engineering.
Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions.
Responsibilities
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.
Collaborate with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability.
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.
Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents.
Other
Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a cross-functional team environment.
Overall experience of 7 to 9 years.
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
