As the Senior Technical Architect Generative AI and Agent Factory at PepsiCo, you will play a crucial role in leading the architecture, design, and strategic enablement of enterprise-grade GenAI platforms including PepGenX, Agent Factory, and PepVigil. Your responsibilities will include: - Architecting and governing scalable, modular AI agent frameworks like Agent Mesh, Orchestrator, Memory, and Canvas for enterprise-wide reuse - Defining event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows - Driving platform integration to ensure consistency in observability, security, and orchestration patterns - Developing reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding - Establishing architecture standards to embed Responsible AI, data privacy, and policy enforcement within GenAI agents - Leading technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product releases Qualifications required for this role: - Bachelors or Masters degree in Computer Science, Engineering, or a related field - 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents - Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms - Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management - Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks - Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams - Excellent communication skills to articulate complex technical concepts to diverse stakeholders Join PepsiCo as the Senior Technical Architect Generative AI and Agent Factory to drive the deployment of AI-driven solutions and contribute to the transformation of commercial, reporting, and enterprise automation use cases. As the Senior Technical Architect Generative AI and Agent Factory at PepsiCo, you will play a crucial role in leading the architecture, design, and strategic enablement of enterprise-grade GenAI platforms including PepGenX, Agent Factory, and PepVigil. Your responsibilities will include: - Architecting and governing scalable, modular AI agent frameworks like Agent Mesh, Orchestrator, Memory, and Canvas for enterprise-wide reuse - Defining event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows - Driving platform integration to ensure consistency in observability, security, and orchestration patterns - Developing reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding - Establishing architecture standards to embed Responsible AI, data privacy, and policy enforcement within GenAI agents - Leading technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product releases Qualifications required for this role: - Bachelors or Masters degree in Computer Science, Engineering, or a related field - 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents - Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms - Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management - Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks - Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams - Excellent communication skills to articulate complex technical concepts to diverse stakeholders Join PepsiCo as the Senior Technical Architect Generative AI and Agent Factory to drive the deployment of AI-driven solutions and contribute to the transformation of commercial, reporting, and enterprise automation use cases.
As an Architect specializing in Real-Time Decisioning (RTD), your main role will involve leading the design and implementation of intelligent, data-driven customer engagement solutions. With over 9 years of experience, you will leverage your deep technical expertise in real-time decision-making platforms and marketing technologies to drive personalization, automation, and optimized customer experiences across various digital channels. **Key Responsibilities:** - Design and implement Real-Time Decisioning initiatives to support next-best-action strategies across web, mobile, email, and contact center touchpoints. - Translate business goals into decisioning logic, data models, and integration strategies. - Collaborate with RTD Business Analyst, Sector Product Owner, Sector IT, and Marketing teams to transform new requirements into best practice-led technical design. - Design and implement real-time personalization use cases using Salesforce Marketing Cloud Personalization (MCP) or Interaction Studio, CleverTap capabilities (triggers, campaigns, decisions, and Einstein). - Define and implement data integrations between Salesforce Marketing Cloud, CDP, CRM, and other platforms. - Troubleshoot key implementation issues and drive towards successful resolutions. - Provide oversight to the development team and ensure sound technical delivery of the product. - Contribute to RTD CoE building activities by creating reference architectures, common patterns, data models, and re-usable assets. - Evangelize and educate internal stakeholders about RTD technologies. **Qualifications:** - Bachelor's degree in IT, Computer Science, or equivalent. - 9-14+ years of IT experience with at least 5+ years of experience in Real-time decisioning and personalization tools like Marketing Cloud personalization (MCP) or Interaction Studio, CleverTap, etc. - Strong understanding of customer data models, behavioral analytics, segmentation, and machine learning models. - Experience with APIs, real-time event processing, and data pipelines. - Familiarity with cloud environments (AWS, Azure, GCP) and data platforms (e.g., Snowflake, BigQuery). - Hands-on experience with rules engines, decision tables, and AI-based recommendations. - Excellent problem-solving, communication, and stakeholder management skills. - Agile delivery experience, self-motivated, creative, with good communication and interpersonal skills. - Experience in providing technical governance on architectural design and leading a development team in a technical capacity. - Passion for technology and continuous learning. As an Architect specializing in Real-Time Decisioning (RTD), your main role will involve leading the design and implementation of intelligent, data-driven customer engagement solutions. With over 9 years of experience, you will leverage your deep technical expertise in real-time decision-making platforms and marketing technologies to drive personalization, automation, and optimized customer experiences across various digital channels. **Key Responsibilities:** - Design and implement Real-Time Decisioning initiatives to support next-best-action strategies across web, mobile, email, and contact center touchpoints. - Translate business goals into decisioning logic, data models, and integration strategies. - Collaborate with RTD Business Analyst, Sector Product Owner, Sector IT, and Marketing teams to transform new requirements into best practice-led technical design. - Design and implement real-time personalization use cases using Salesforce Marketing Cloud Personalization (MCP) or Interaction Studio, CleverTap capabilities (triggers, campaigns, decisions, and Einstein). - Define and implement data integrations between Salesforce Marketing Cloud, CDP, CRM, and other platforms. - Troubleshoot key implementation issues and drive towards successful resolutions. - Provide oversight to the development team and ensure sound technical delivery of the product. - Contribute to RTD CoE building activities by creating reference architectures, common patterns, data models, and re-usable assets. - Evangelize and educate internal stakeholders about RTD technologies. **Qualifications:** - Bachelor's degree in IT, Computer Science, or equivalent. - 9-14+ years of IT experience with at least 5+ years of experience in Real-time decisioning and personalization tools like Marketing Cloud personalization (MCP) or Interaction Studio, CleverTap, etc. - Strong understanding of customer data models, behavioral analytics, segmentation, and machine learning models. - Experience with APIs, real-time event processing, and data pipelines. - Familiarity with cloud environments (AWS, Azure, GCP) and data platforms (e.g., Snowflake, BigQuery). - Hands-on experience with rules engines, decision tables, and AI-based recommendations. - Excellent problem-solving, communication, and stakeholder management skills. - Agile delivery experience, self-motivated, creative, with good communication and int