PepsiCo is looking to design and develop domain-specific AI agents and solutions to drive transformation strategies, 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.
Ability to translate business challenges into technical solutions.
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.
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 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.
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.
Other
Proven experience in leading AI projects with hands-on experience in code development and software engineering.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a cross-functional team environment.
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.