AI/ML Architect - Conversational and Agentic AI

PepsiCo; Ciudad de México; Presencial; USD 60,000 - 120,000; Jornada completa

Descripción de la vacante

Join an innovative and dynamic company as an AI/ML Architect, where you'll design cutting-edge AI solutions that enhance conversational experiences. This role involves leveraging advanced technologies to create intelligent agents and chatbots, integrating them seamlessly into various platforms. With a focus on natural language processing and cloud infrastructure, you'll collaborate with talented teams to drive impactful AI projects. Enjoy a culture of continuous learning and development, alongside flexible work arrangements and family-friendly benefits. If you're passionate about AI and eager to make a difference, this opportunity is perfect for you.

Servicios

Opportunities for daily learning and development

Access to internal digital platforms for self-learning

Leadership development programs

Specialized training tailored to your role

Recognition programs for achievements

Financial wellness programs

Flexible work arrangements

Family-friendly benefits

Formación

• 5+ years in IT with 3+ years in Conversational AI or Agentic AI.
• Proficiency in Python and NLP libraries like Transformers and spaCy.

Responsabilidades

• Design and implement AI-driven conversational solutions using Azure and AWS.
• Monitor and optimize AI system performance for user satisfaction.

Conocimientos

Python

Natural Language Processing (NLP)

Azure

AWS

Dialog Management

Agent Orchestration

MLOps

DevOps

Communication Skills

Collaboration Skills

Educación

Bachelor's or Master's degree in Computer Science

Degree in AI or Natural Language Processing

Herramientas

Azure CoPilot Studio

AWS Lex

Docker

Kubernetes

Transformers

spaCy

NLTK

Pinecone

Weaviate

Descripción del empleo

Overview

We Are PepsiCo

Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers, and change agents. 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. Here, you can dare to be you. 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: PepsiCoJobs

Join PepsiCo, dare for better.

Responsibilities

The 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. 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 include:

1. Conversational & Agentic AI Solution Architecture & Design: 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). 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.
2. 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 equivalents. 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.
3. 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 responses.
4. 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 AI models and applications.
5. Performance Optimization & Governance: Monitor and optimize AI system performance, including response latency, accuracy, and user satisfaction. Implement testing and evaluation frameworks, including A/B testing and user feedback analysis. Ensure compliance with data privacy and security regulations. Incorporate responsible AI principles to prevent harmful or unwanted behavior.
6. Collaboration & Stakeholder Engagement: Collaborate with product managers, data scientists, and engineers to define and deliver AI solutions. Communicate complex technical concepts to non-technical stakeholders. Provide guidance and mentorship to junior team members.

Qualifications

Who Are We Looking For?

Education: Bachelor’s or Master’s degree in Computer Science, AI, Natural Language Processing, or a related field.

Experience: 5+ years in IT, with at least 3+ years specializing in Conversational AI and/or Agentic AI solutions. Proficiency in Python and NLP libraries (e.g., Transformers, spaCy, NLTK). Deep expertise in Azure and/or AWS AI services, APIs, and frameworks. Experience with transformer models, LLMs, dialog management, databases, voice interfaces, and agent orchestration frameworks. Knowledge of MLOps & DevOps practices, including CI/CD, Docker, Kubernetes. Strong communication and collaboration skills.

If interested, we encourage you to apply even if you do not meet 100% of the requirements.

What can you expect from us:

• Opportunities for daily learning and development through various programs.
• Access to internal digital platforms for self-learning.
• Leadership development programs.
• Specialized training tailored to your role.
• Learning experiences with internal and external providers.
• Recognition programs for various achievements.
• Financial wellness programs.
• Flexible work arrangements.
• Family-friendly benefits, including wellness lines, discounts, scholarships, and aid plans.

We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We respect and value diversity as a source of innovation.