Manager, AI Platform Engineering (Remote)

The Home Depot is a leading home improvement retailer, and they are seeking a Manager for their AI Platform Engineering team. This role involves leading the development of an enterprise Generative AI platform and ensuring its alignment with security and governance standards while driving innovation across the organization.

Responsibilities:

• Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
• Documents, reviews and ensures that all quality and change control standards are met
• Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
• Works with vendors and partners for the successful implementation of critical tooling and platforms
• Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
• Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
• Evaluates new technologies for adoption across the enterprise
• Participates in and leads review board sessions to drive consistency across the enterprise
• Fills in on product teams for engineers who are out of the office
• Fields questions from engineers, product teams, or support teams
• Monitors tools and participates in conversations to encourage collaboration across product teams
• Provides application support for software running in production
• Acts as a technical escalation point for the engineers on the team
• Provides leadership, mentoring, and coaching to Software Engineers
• Attracts, retains, and develops top talent to build a world class Software Engineering Team
• Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
• Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
• Acts as a proponent of modern software development practices
• Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
• Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
• Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
• Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

Requirements:

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• Mastery of an object oriented programming language (preferably Java)
• 5 years of related work experience in software engineering
• 8+ years of related work experience in software engineering, with at least 2 years focused on AI/ GenAI projects for large enterprises
• Experience with modern software delivery practices, including CI/CD pipelines, containerization, and orchestration technologies (e.g., Docker, Kubernetes), with a strong understanding of deploying and operating scalable, production-grade systems
• Experience designing or building AI agents and agent-based workflows, including orchestration of LLMs, tools, and external systems in production environments
• Strong understanding of AI, machine learning, and software engineering concepts, demonstrated through recent certifications or project experience
• Proven track record of managing complex technical projects and leading junior engineering teams
• Deep experience with ad tech, streaming media platforms, and digital content delivery
• Familiarity with agile methodologies and project management tools (e.g., Jira, Trello, Monday)
• Experience with cloud platforms (e.g. Azure, GCP) for scalable AI system deployment
• Excellent problem-solving and analytical skills
• Strong communication skills with ability to explain AI and software engineering concepts to both technical and non-technical audiences
• Knowledge of privacy and security considerations in AI applications
• Understanding of AI ethics and responsible AI practices
• Strong leadership and mentoring abilities
• Excellent interpersonal and team collaboration skills
• Ability to think strategically about AI applications and their business impact
• Proactive and self-motivated with a passion for emerging AI technologies and software engineering practices
• Adaptable and able to thrive in a fast-paced, rapidly evolving AI and software development landscape
• Bachelor's degree in Computer Science, Software Engineering, or related field