Google Kubernetes Engine Engineer Jobs

1 job found

1d ago

Senior AI Engineer

Home Depot / THD Denver, CO 🇺🇸 Remote

Denver, CO

1d ago

Full time AI Ai Ml API

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Job Description

The Home Depot, a leader in retail and home improvement, is seeking a Senior AI Engineer to design, build, and scale production-grade agentic AI systems that drive measurable business outcomes. This role collaborates across data science, ML engineering, and software teams to turn AI concepts into enterprise-ready products, with a focus on LLM and SLM powered applications, RAG frameworks, and multi-agent workflows deployed in the cloud. The position is based in Denver, CO with a remote work option.

Responsibilities

Delivery and Execution: Collaborate with UX, engineering, and product management to create secure, reliable, and scalable ML solutions; document and ensure quality and change-control standards are met; ensure user stories are developer-ready, easy to understand, and testable; write custom code to automate infrastructure, monitoring services, and test cases.
Learning: Engage in ongoing learning around modern software design, machine learning, and development practices; proactively study articles, tutorials, and videos to stay current on technologies used across organizations.
Support and Enablement: Field questions from product and support teams; monitor tools and foster cross-team collaboration; provide production application support; monitor production service level objectives and review the performance and capacity of code, infrastructure, data, messaging, and prediction quality.

Requirements

Experience: 6+ years in AI, machine learning engineering, or software engineering with strong Python development skills and modern software engineering practices.
AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
AI Foundations: Deep understanding of AI and ML fundamentals including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and integrating AI solutions with enterprise platforms, APIs, and business systems.
Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (Terraform), and AI pipeline design with hands-on MLOps/LLMOps practices (CI/CD, automated testing, model versioning and registries, governance, security) across the full AI/agent lifecycle.
AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, progressive rollout strategies (canary, blue-green, shadow deployments) with automated rollback, and end-to-end observability (logs, metrics, distributed tracing, alerting) across models, agents, and orchestration layers to ensure reliability, performance, and cost/token efficiency at scale.
Optimization & Debugging: Ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token usage; adept at debugging operational failure modes.
Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven track record of taking AI solutions from concept to production in complex enterprise environments.

Technologies

Python, LLMs, SLMs, RAG frameworks
Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen
Node.js, React, REST, Linux, Git, Docker, Kubernetes, GKE
Terraform, Transformers, Embeddings, Vector databases

Benefits

Health care benefits
401K
ESPP
Paid time off
Success sharing bonus

Direct Manager / Reports

This position typically reports to a Software Engineer Manager or Senior Software Engineer Manager
This position has 0 direct reports

Travel Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most of the time spent sitting in a comfortable position with frequent movement opportunities
Occasional light lifting may be required

Working Conditions

Located in a comfortable indoor environment. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

Must be eighteen years of age or older
Must be legally permitted to work in the United States

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

Certifications

None

Competencies

Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy

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