The Home Depot
Senior AI Engineer (Remote)
STORE SUPPORT CENTER, ATLANTA - 9090 · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$13,776 more — $113,776 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $113,776 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Atlanta-Sandy Springs-Roswell, GA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.
- By partnering with product, engineering, and business teams, you will rapidly prototype solutions, navigate ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production.
- On rare occasions there may be a need to move or lift light articles.
Responsibilities
- Documents, reviews, and ensures that all quality and change control standards are met
- Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
- 20% Support and Enablement - Fields questions from other product teams or support teams
- Provides application support for software running in production
- 20% Support and Enablement
- Fields questions from other 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; Proactively monitors production Service Level Objectives for products;
- Manages Ambiguity
- Drives Results
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in complex enterprise environments.
- You will build the core orchestration layers for multi-agent workflows, tool integration, and planning, alongside the infrastructure required for reliable, large-scale cloud deployment.
Nice to have
- Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
- Guardrails & Reliability: Knowledge and experience in establishing Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails.
- Leadership & Innovation: A proven track record of driving innovation, delivering measurable business impact, mentoring engineering teams, and establishing AI engineering standards and best practices.
Skills
- Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
- Master's or bachelor's in computer science, Artificial Intelligence, Machine Learning, or a related technical discipline.
- Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
- Preferred Education:
- No additional education
- Minimum Years of Work Experience:
- Preferred Years of Work Experience:
- No additional years of experience
- Minimum Leadership Experience:
- None
- Preferred Leadership Experience:
Compensation
- The pay range for this position is between $100,000.00 - $250,000.00
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.
- Nimble Learning
- 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions
- 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice)
This listing is sourced directly from The Home Depot's careers page and normalized into a canonical job model.