PepsiCo's transformation strategies by designing and developing domain-specific AI agents and solutions to deliver actionable insights and perform intelligent tasks
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
- Deep understanding of new technologies, GenAI algorithms and Agentic tools
- Experience with AI/ML projects and hands-on experience in code development and software engineering
- Knowledge of cloud infrastructure and deployment of AI solutions
- Familiarity with data science and machine learning concepts
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
- 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
- Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions
Other
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field
- Proven experience in leading AI projects with hands-on experience in code development and software engineering
- Ability to work collaboratively in a cross-functional team environment
- Effective at working within cross-functional teams
- Capable of explaining complex technical concepts to non-technical stakeholders
