Manager, AI Platform Engineering (Remote)
The Home Depot
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Benefits offered by this job
Job summary
The Home Depot is seeking a Manager, AI Platform Engineering to lead the enterprise GenAI platform, ensuring scalable, secure AI capabilities across the organization. You will oversee engineers building GenAI services, agentic workflows, and multi-model orchestration, partnering with product, data, legal, and cybersecurity teams to translate AI needs into scalable platform capabilities.
You will balance rapid innovation with operational excellence and responsible AI practices, collaborating with
Qualifications
- Mastery of an OO language, preferably Java.
- 5+ years of software engineering experience; 2+ years in AI/GenAI for large-scale initiatives.
- Experience with CI/CD, containerization, and orchestration (Docker, Kubernetes).
- Experience designing/building AI agents and LLM orchestration in production.
- Awareness of privacy and security considerations in AI.
- Bachelor's degree in CS/SE or related field.
Responsibilities
- Lead delivery and execution of GenAI platform services.
- Mentor and develop software engineers.
- Collaborate with product, data, legal, and cybersecurity stakeholders.
- Ensure security, privacy, and governance alignment across AI initiatives.
- Evaluate new technologies and drive enterprise adoption.
Skills
Education
Tools
Job description
Position Purpose
As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform, enabling scalable, secure, and high‑impact AI capabilities across the organization. This role combines technical delivery leadership with strategic thinking, overseeing a team of engineers to build and operate GenAI platform services, agentic workflows, and multi‑model orchestration.
You will partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities that drive enterprise‑wide adoption and efficiency. You will ensure alignment with security, privacy, and governance standards while enabling successful delivery and commercialization at scale. In addition, you will collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.
This role is critical to scaling AI adoption across the enterprise, balancing rapid innovation with operational excellence and responsible AI practices.
- 30% Delivery & Execution:
- 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
- 10% Support & Enablement:
- 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
- 50% People:
- 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)
- 10% Learning:
- 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
Position Purpose
As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform, enabling scalable, secure, and high‑impact AI capabilities across the organization. This role combines technical delivery leadership with strategic thinking, overseeing a team of engineers to build and operate GenAI platform services, agentic workflows, and multi‑model orchestration.
You will partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities that drive enterprise‑wide adoption and efficiency. You will ensure alignment with security, privacy, and governance standards while enabling successful delivery and commercialization at scale. In addition, you will collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.
This role is critical to scaling AI adoption across the enterprise, balancing rapid innovation with operational excellence and responsible AI practices.
- 30% Delivery & Execution:
- 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
- 10% Support & Enablement:
- 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
- 50% People:
- 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)
- 10% Learning:
- 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
- Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.
- Typically requires overnight travel 5% to 20% of the time.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- 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)
- Must be legally permitted to work in the United States
- 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.
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
- No additional education
- 5
- No additional years of experience
- None
- None
- None
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
- Builds Effective Teams: Building strong‑identity teams that apply their diverse skills and perspectives to achieve common goals
- Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- Communicates Effectively: Developing and delivering multi‑mode communications that convey a clear understanding of the unique needs of different audiences
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people‑related organizational dynamics
- Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
Apply End Date: 08/31/2026
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