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Associate Director SWE & AI

Associate Director SWE & AI

PepsiCo
  • Posted 3 hours ago
  • Be among the first 10 applicants

Job Description

Overview

The Senior Manager, AI, Software Engineering & Intelligent Automation is responsible for leading the strategy, architecture, development, and delivery of enterprise platforms, digital products, AI solutions, and intelligent automation capabilities across PepsiCo's Strategy & Transformation (S&T) organization. This leader drives innovation through modern Software Engineering, Cloud Platforms, Generative AI, Agentic AI, and Intelligent Automation while ensuring scalable, secure, resilient, and high-performing solutions that deliver measurable business value.

The role provides technical leadership across Software Engineering and Intelligent Automation teams and partners closely with Product, UX, IT, Data & Analytics, Emerging Technology, and Business stakeholders to accelerate digital transformation for Pepsico.

This role is a part of PepsiCo's S&T (Strategy & Transformation), Platform & Solution Engineering (PSE).


Responsibilities

  • Define and execute the technology strategy, architecture, and roadmap for Platform & Solution Engineering (PSE), Software Engineering, AI, and Intelligent Automation capabilities.
  • Lead the design, development, deployment, and support of enterprise platforms, digital products, APIs, integrations, cloud-native applications, and automation solutions.
  • Serve as the technical authority for software architecture, cloud platforms, distributed systems, application modernization, and Intelligent Automation platforms including UiPath.
  • Drive adoption of Generative AI, Agentic AI, AI-assisted development, and automation technologies to improve developer productivity, operational efficiency, and business outcomes.
  • Build, lead, mentor, and develop high-performing teams of Software Engineers, Solution Architects, RPA Developers, Engineering Managers, and Technical Leads.
  • Partner with Product Management, User Experience, IT, Data & Analytics, Process Engineering, and Emerging Technology teams to deliver strategic business solutions.
  • Establish engineering standards, architecture reviews, design reviews, code reviews, testing strategies, DevSecOps practices, automation governance, and operational excellence frameworks.
  • Lead development of scalable, secure, resilient, and highly available enterprise solutions leveraging modern cloud, platform, and automation technologies.
  • Provide oversight of RPA platforms, bot architecture, orchestration, infrastructure, licensing, operational support, and automation best practices.
  • Manage technology roadmaps, delivery risks, dependencies, budgets, and stakeholder communications while ensuring measurable value realization.
  • Influence executive stakeholders and drive technology decisions that support long-term business and digital transformation objectives.

Qualifications

  • Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related field Master's Degree preferred.
  • 10+ years of experience in Software Engineering, Solution Architecture, Platform Engineering, Intelligent Automation, or Technology Leadership roles.
  • 3+ years leading multiple software engineering teams, technical leads, engineering managers, or automation teams.
  • Strong expertise in modern software architecture, object-oriented design, data structures, algorithms, and distributed systems.
  • Experience building enterprise-scale web, mobile, eCommerce, API-driven, and cloud-native applications.
  • 3+ years of experience with Intelligent Automation or RPA platforms, preferably UiPath, including bot architecture, orchestration, infrastructure, governance, and operational support.
  • Working knowledge of Java, Python, JavaScript, and modern frameworks such as Spring Boot, React, React Native, Node.js, and microservices architectures.
  • Experience with Azure (preferred), AWS, and/or Google Cloud Platform, including cloud-native services, containers, APIs, messaging, caching, and platform services.
  • Deep understanding of design patterns, architecture patterns, DevOps/CI-CD, observability, testing strategies, automation governance, and metrics-driven software delivery.
  • Experience implementing and operating high-throughput, highly available, mission-critical enterprise systems.
  • Strong communication, stakeholder management, and organizational leadership skills with experience influencing senior leadership and cross-functional teams.

Key Skills

Generative AI

microservices architectures

Intelligent Automation

Agentic AI

testing strategies

automation governance

CI-CD

observability

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