Postúlate en Kit Empleo: kitempleo.com.mx/empleo/573pa6

OverviewWe Are PepsiCoJoin PepsiCo and Dare for Better!

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We are the perfect place for curious people, thinkers and change agents.

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From leadership to front lines, we're excited about the future and working together to make the world a better place.Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.A career at PepsiCo means working in a culture where all people are welcome.

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Here, you can dare to be you.

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No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.Know more: PepsiCoJobsJoin PepsiCo, dare for better.ResponsibilitiesThe Opportunity:The AI/ML Architect is responsible for designing, developing, and implementing advanced AI-driven conversational and agentic solutions using Azure, AWS or custom developed AI services, cutting-edge language models, and modern programming languages such as Python and Java.

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This role demands deep expertise in natural language processing (NLP), dialog management, agent orchestration, and cloud-native AI deployments to create seamless, intelligent, and scalable conversational experiences and autonomous agents.Your Impact:As AI/ML Architect - Conversational and Agentic AI your functions would consist of:Conversational & Agentic AI Solution Architecture & Design:

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• Design and architect end-to-end conversational AI systems, including chatbots, voice assistants, and intelligent agents,



leveraging advanced NLP techniques and large language models (LLMs).

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- Develop comprehensive dialog flows, intent recognition models, entity extraction, and sentiment analysis for complex conversational interactions.
- Architect agentic systems, focusing on planning, reasoning, and execution, integrating tools and APIs for autonomous task completion.
- Define the architecture for integrating conversational and agentic AI with enterprise systems and external APIs.
- Create detailed technical specifications and documentation for conversational and agentic AI solutions.Cloud & Infrastructure Development (Focused on Conversational & Agentic AI):• Design and deploy scalable and resilient cloud infrastructure for conversational and agentic AI applications on Azure or AWS, leveraging Native AI services, Azure CoPilot Studio or AWS Lex & Connect, Azure ML / AWS Sagemaker, and LLM services like OpenAI / Bedrock.
- Design and deploy multiple AI Agents using Open Source development, deployment and orchestration frameworks like LangGraph and Crew.ai or their commercial equivalent.
- Optimize cloud resources for efficient processing of natural language queries, LLM inferences, and agentic workflows.
- Implement serverless architectures and containerized solutions (Docker, Kubernetes)



for deploying and managing conversational and agentic AI models.Database & Knowledge Engineering (Focused on Conversational & Agentic AI):• Design and implement knowledge graphs and vector databases (e.g., Azure Cognitive Search, Pinecone, Weaviate) to support conversational and agentic AI systems.
- Develop data pipelines for ingesting, processing, and storing conversational data, including transcripts, user interactions, and knowledge base content.
- Implement data retrieval and augmentation strategies, including Retrieval Augmented Generation (RAG) to enhance the accuracy and relevance of conversational and agentic responses.Integration & Deployment (Focused on Conversational & Agentic AI):• Integrate conversational and agentic AI solutions with various channels, including web, mobile, messaging platforms (SMS, WhatsApp, etc.), Social Media (Facebook Messenger, TikTok, etc.) and voice interfaces.
- Develop APIs and microservices for seamless integration with enterprise systems and third-party services.
- Implement CI/CD pipelines for automated deployment and testing of conversational and agentic AI models and applications.Performance Optimization & Governance (Focused on Conversational & Agentic AI):• Monitor and optimize the performance of conversational and agentic AI systems, including response latency, accuracy, and user satisfaction.
- Implement robust testing and evaluation frameworks for conversational and agentic AI models, including A/B testing and user feedback analysis.
- Ensure compliance with data privacy and security regulations for conversational and agentic AI applications.
- Implement responsible AI principles into the agentic systems to prevent harmful or unwanted behavior.Collaboration & Stakeholder Engagement:• C

Postúlate en Kit Empleo: kitempleo.com.mx/empleo/573pa6

📌 Ai/Ml Engineer - Conversational & Agentic Ai (Xico)
🏢 Pepsico Deutschland
📍 Xico