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Aws Sagemaker Jobs in Colorado (NOW HIRING)

AWS Senior Architect

Denver, CO · On-site

$66.75 - $87.50/hr

Required : • Hands-on experience with AWS services. • Working knowledge of AI/GenAI for autonomous networks. • Proficiency in AWS AI (SageMaker, Bedrock, Comprehend) • Strong knowledge of ...

Hands‑on experience with at least one modern AI/ML platform such as Databricks, AWS SageMaker, MLflow, Azure ML, Vertex AI, or equivalent. * Practical experience with CI/CD, infrastructure ...

Senior AI/ML Platform Engineer

Denver, CO · On-site

$107K - $147K/yr

Hands-on experience with at least one modern AI/ML platform such as Databricks, AWS SageMaker, MLflow, Azure ML, Vertex AI, or equivalent. * Practical experience with CI/CD, infrastructure automation ...

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Cyber - AWS Cloud Security - Manager

Denver, CO · On-site

$114K - $154K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Lead Forward Deployed Engineer - AWS

Denver, CO · On-site

$105K - $139K/yr

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Senior Forward Deployed Engineer- AWS

Denver, CO · On-site

$107K - $147K/yr

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

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Aws Sagemaker information

See Colorado salary details

$11

$56

$81

How much do aws sagemaker jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for aws sagemaker in Colorado is $56.83, according to ZipRecruiter salary data. Most workers in this role earn between $40.67 and $67.74 per hour, depending on experience, location, and employer.

What is an AWS SageMaker?

An AWS SageMaker job typically refers to a role focused on building, training, and deploying machine learning models using Amazon SageMaker. Professionals in this role work with data preprocessing, model optimization, and cloud-based machine learning workflows. Responsibilities may include automating ML pipelines, monitoring performance, and integrating SageMaker with other AWS services. Knowledge of Python, TensorFlow, PyTorch, and AWS services is often required.

What does an AWS SageMaker do?

Day-to-day responsibilities for AWS SageMaker professionals typically include building, training, and deploying machine learning models using the SageMaker platform, preprocessing data, and monitoring the performance of deployed models. You'll often collaborate with data engineers, software developers, and business stakeholders to understand project requirements and deliver solutions that meet business objectives. Routine tasks may also involve tuning model hyperparameters, optimizing resource usage, and ensuring data security and compliance within AWS environments. This hands-on, collaborative workflow provides the opportunity to directly impact business outcomes while continuously developing your technical expertise.

What are the key skills and qualifications needed for an AWS SageMaker?

To excel in an AWS SageMaker-focused role, you need strong expertise in machine learning, data science, and cloud computing, often supported by a degree in computer science or a related field. Experience with AWS SageMaker, other AWS services (like S3 and Lambda), and certifications such as AWS Certified Machine Learning – Specialty are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help set candidates apart. Mastery of these areas ensures successful design, deployment, and management of scalable AI/ML solutions in dynamic business environments.

What are popular job titles related to Aws Sagemaker jobs in Colorado?

For Aws Sagemaker jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Aws Sagemaker jobs in Colorado look for?

The top searched job categories for Aws Sagemaker jobs in Colorado are:

Infographic showing various Aws Sagemaker job openings in Colorado as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,214 per year, or $56.8 per hour.

AWS Principal Architect - Telecommunications (AIOps / AI/ML)

3B Staffing LLC

Englewood, CO • On-site

$64.25 - $84.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

AWS Principal Architect - Telecommunications (AIOps / AI/ML)

Location: Greenwood Village (Hybrid - 4 days onsite/week)
Duration: Contract
Client: Leading Telecommunications Company
Interview: Mandatory onsite final round

Expertise in AWS cloud architecture, AI/ML & AIOps (Bedrock, Neptune, SageMaker), telecom network systems, microservices/cloud-native design, DevSecOps/MLOps, and large-scale high-availability system architecture with strong leadership experience.

We are seeking an experienced AWS Principal Architect to lead the design and implementation of AI-driven (AIOps) network operations solutions for a large-scale telecommunications environment. This role focuses on building intelligent, automated, and highly reliable systems using advanced AWS AI/ML services, agentic AI, and cloud-native architectures.

Must be local to Denver, CO area

  • Hybrid role (4 days onsite) - no remote option
  • Face-to-face final interview required

Required

  • 12+ years of experience in AWS cloud architecture
  • 7+ years leading engineering/architecture teams
  • Strong expertise in:
    • AWS (EC2, S3, Lambda, EKS, Terraform)
    • AI/ML & AIOps frameworks
    • Amazon Bedrock, Neptune, SageMaker
  • Experience with:
    • Telecommunications networks, protocols, and operations
    • Real-time data processing and large-scale distributed systems
  • Strong knowledge of:
    • DevSecOps, CI/CD, MLOps
    • High availability, reliability engineering, and performance tuning

Preferred

  • AWS Certified Solutions Architect (Professional)
  • Experience in telecom platform modernization
  • Knowledge of ITIL / ITSM frameworks
  • Experience with network automation & observability tools
  • Thought leadership (publications, frameworks, innovation initiatives)