Top 154 Senior ai ml engineer Jobs in Aurora Co

Senior AI Engineer (Remote)
Home Depot / THD —Denver, CO
- $100,000 - $180,000 a year
- Remote
- 18 years or older
- 6 years
- Computer Science
- Employee stock purchase plan
- Health insurance
14d
Sr. System Development Engineer, AL/ML/Storage server team, Cloud AI/ML/storage server teams
Amazon Data Services, Inc. —Denver, CO
- $151,200 - $204,600 a year
- Full-time
- System design
- Java
- AWS
- AD&D insurance
- Health insurance
4d
Sr. AI/ML Engineer II (6761)
MetroStar —Aurora, CO
- $190,000 - $210,000 a year
- Full-time
- Remote
- Master's degree
- Bachelor's degree
- US work authorization
- Paid training
- Paid holidays
19h
Senior AI Developer/Engineer
Connect for Health Colorado —Denver, CO
- $128,750 - $160,680 a year
- Weekends as needed
- Remote
- Background check
- 3 years
- Java
- Disability insurance
- Health insurance
Quick Apply
Senior Platform Engineer, AI
True Anomaly —Denver, CO
- $170,000 - $275,000 a year
- Hybrid work
- Azure
- System design
- Office
- Health savings account
- Paid holidays
Sr AI/ML Engineer
Sierra Nevada Corporation —Lone Tree, CO
- $143,487.14 - $197,294.82 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Office
- Health insurance
- Dental insurance
Senior Software Engineer – AI Applications
Mears Group, Inc. —Englewood, CO
- $100,000 - $120,000 a year
- Full-time
- Background check
- Computer science
- Azure
- Disability insurance
- Dental insurance
Quick Apply
9d
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team
Amazon Data Services, Inc. —Denver, CO
- $159,200 - $215,300 a year
- Full-time
- Engineering
- Research
- 3 years
- AD&D insurance
- Health insurance
14d
Senior Emboddied AI Engineer (Centennial, CO)
Orica —Centennial, CO
- $130,000 - $150,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Master's degree
- Paid parental leave
- Health savings account
Platform Engineer, AI (Levels I, II, III)
True Anomaly —Denver, CO
- $120,000 - $225,000 a year
- Hybrid work
- Azure
- Office
- AWS
- Health savings account
- Paid holidays
Senior Data Scientist | AI | ML
Grey Matters Defense Solutions —Centennial, CO
- $125,000 - $220,000 a year
- Full-time
- Research
- Office
- US work authorization
- Health savings account
- Disability insurance
Quick Apply
Senior Applied ML Engineer
Paradigm —Denver, CO
- $125,250 - $183,700 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- 5 years
Quick Apply
Sr. Manufacturing Hardware Engineer, AI/ML Server Development
Amazon Development Center U.S., Inc. —Denver, CO
- $159,200 - $215,300 a year
- Full-time
- CAD
- Engineering
- Research
- AD&D insurance
- Health insurance
14d
Senior AI Engineer
Loenbro —Centennial, CO
- $130,000 - $150,000 a year
- Full-time
- Azure
- Computer Science
- Office
- Paid holidays
- Disability insurance
Quick Apply
8d
Staff Platform Engineer, AI
True Anomaly —Denver, CO
- $200,000 - $330,000 a year
- Hybrid work
- Azure
- Office
- AWS
- Health savings account
- Paid holidays
Hardware Development Engineer, AI/ML Server Development
Amazon Data Services, Inc. —Denver, CO
- $109,700 - $185,000 a year
- Full-time
- Software troubleshooting
- Mid-level
- Java
- AD&D insurance
- Health insurance
7d
AI Developer/Engineer
Connect for Health Colorado —Denver, CO
- $111,240 - $145,230 a year
- Weekends as needed
- Remote
- Background check
- Mid-level
- Java
- Disability insurance
- Health insurance
Quick Apply
Senior Engineer, Inference Data Plane
DigitalOcean —Denver, CO
- $139,200 - $174,000 a year
- Remote
- System design
- Continuous improvement
- Mentoring
- Employee stock purchase plan
- Employee assistance program
Quick Apply
7d
Sr. Software Engineer - AI/ML
U.S. Bank National Association —Denver, CO
- $111,605 - $131,300 a year
- Full-time
- 5 years
- Office
- Java
- Paid holidays
- Disability insurance
11h
Staff AI Product Analyst
Angi —Denver, CO
- $165,000 - $225,000 a year
- Full-time
- Remote
- Product management
- APIs
- 1 year
- Health insurance
- Dental insurance
Quick Apply

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senior ai ml engineer jobs near aurora co

Senior AI Engineer (Remote)

Home Depot / THD -
Denver, CO

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Job Details

$100,000 - $180,000 a year
14 days ago

Benefits

Employee stock purchase plan
Health insurance
401(k)
Paid time off

Qualifications

AI models
Containerization systems
Performance monitoring
Systems integration
Software engineering
Continuous Delivery (CD) implementation
Tooling
Cloud governance
Infrastructure as Code (IaC)
Enterprise software
Improving system uptime or availability
System performance optimization
Software implementation
Generative models
Enterprise solutions implementation
Application deployment
AI platforms (beyond public GPTs)
Scalable systems
Technology security practices
Enterprise software systems development
Prompt engineering
High school diploma or GED
Machine learning cloud services
Collaboration with product development teams
Machine intelligence
IT monitoring tools
Model deployment
SRE
Enterprise Integration
Developing large-scale AI models

Full Job Description

Position Purpose:

The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.

This role involves developing scalable applications powered by LLMs, SLMs, Retrieval-Augmented Generation (RAG) frameworks, and autonomous agents. 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. 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.

Required skills

Experience: 6+ years of experience 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/ML foundations, 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 seamlessly 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 (e.g., Terraform), and AI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle.
AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, implementing progressive rollout strategies (canary, blue-green, and shadow deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, distributed tracing, and automated alerting) across models, agents, and orchestration layers to ensure production reliability, performance, and cost/token efficiency at scale.
Optimization & Debugging: Demonstrated ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, as well as debugging operational failure modes.
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.

Key Responsibilities:

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; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
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; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Direct Manager/Direct Reports:

This Position typically reports to Software Engineer Manager or Sr. 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 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.

Working Conditions:

Located in a comfortable indoor area. 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.

Preferred Qualifications:

Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
AI Infrastructure & Platform Tooling: Hands-on experience with infrastructure-as-code (e.g., Terraform), Kubernetes/GKE for container orchestration, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale.
Full‑stack skills: Node.js/React/REST, API design, performance optimization, Linux, Git, modern deployment toolchain.
Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
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.
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:

None

Certifications:

None

Competencies:

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

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: 09/11/2026

Apply Now

Refine Your Search

senior ai ml engineer jobs in aurora co

Senior AI Engineer (Remote)

Sr. System Development Engineer, AL/ML/Storage server team, Cloud AI/ML/storage server teams

Sr. AI/ML Engineer II (6761)

Senior AI Developer/Engineer

Senior Platform Engineer, AI

Sr AI/ML Engineer

Senior Software Engineer – AI Applications

Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team

Senior Emboddied AI Engineer (Centennial, CO)

Platform Engineer, AI (Levels I, II, III)

Senior Data Scientist | AI | ML

Senior Applied ML Engineer

Sr. Manufacturing Hardware Engineer, AI/ML Server Development

Senior AI Engineer

Staff Platform Engineer, AI

Hardware Development Engineer, AI/ML Server Development

AI Developer/Engineer

Senior Engineer, Inference Data Plane

Sr. Software Engineer - AI/ML

Staff AI Product Analyst

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