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Amazon Sagemaker Jobs in Colorado (NOW HIRING)

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 ...

AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services * Snowflake experience ...

AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, S3, or related cloud-native AI/ML services * Snowflake experience, including data modeling ...

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services * Contribute to evolving use of AWS Bedrock Apply Responsible AI Practices * Implement guardrails for LLM-based systems (grounding ...

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Amazon Sagemaker information

See Colorado salary details

$24.2K

$81.1K

$128.3K

How much do amazon sagemaker jobs pay per year?

As of Aug 20, 2026, the average yearly pay for amazon sagemaker in Colorado is $81,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $100,900.00 per year, depending on experience, location, and employer.

What is Amazon SageMaker?

Amazon SageMaker is a fully managed machine learning service provided by AWS that allows developers and data scientists to build, train, and deploy machine learning models quickly and at scale. It offers a range of tools for every stage of the ML workflow, including data labeling, model training, tuning, and deployment. SageMaker supports popular ML frameworks and integrates with other AWS services, making it easier to operationalize machine learning in the cloud. Its managed infrastructure helps reduce the time and complexity involved in developing ML solutions.

What are the key skills and qualifications needed to thrive as an Amazon SageMaker machine learning engineer?

To excel as an Amazon SageMaker Machine Learning Engineer, you need strong expertise in machine learning concepts, data preprocessing, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with AWS SageMaker, cloud infrastructure, version control systems like Git, and relevant certifications such as AWS Certified Machine Learning – Specialty are highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills are vital for building, deploying, and maintaining scalable machine learning solutions that drive business value.

What are some common challenges faced by professionals working with Amazon SageMaker, and how can they be addressed?

Professionals working with Amazon SageMaker often encounter challenges such as managing large datasets, optimizing model training costs, and integrating SageMaker with other AWS services or existing data pipelines. Addressing these challenges typically involves leveraging SageMaker's built-in data preprocessing features, using managed spot training to reduce costs, and collaborating closely with data engineering and DevOps teams to ensure seamless integration. Regularly reviewing AWS documentation and best practices can also help professionals stay updated on new features and solutions.

What can I do with Amazon Sagemaker?

Amazon Sagemaker is a cloud-based machine learning platform that allows data scientists and developers to build, train, and deploy machine learning models efficiently. It provides tools for data labeling, model tuning, and deployment, supporting various frameworks like TensorFlow and PyTorch. Users can automate workflows, manage models at scale, and integrate with other AWS services for end-to-end machine learning solutions.

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

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

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

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

Infographic showing various Amazon Sagemaker job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $81,102 per year, or $39 per hour.

Cyber - AWS Cloud Security - Senior Manager

Deloitte

Denver, CO

$114K - $154K/yr

Full-time

Posted 21 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Deloitte is seeking an AWS Cloud Security Senior Manager to lead the design and delivery of cloud security services within our Cyber practice. In this role, you will advise clients on securing Amazon Web Services (AWS) environments, shape cloud security strategies, and lead teams through complex transformation programs. The ideal candidate brings deep cloud security experience, client-facing leadership, and the ability to translate security requirements into scalable business solutions.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an AWS Cloud Security Senior Manager on the Enterprise Security team, you will be responsible for:

  • Leading AWS cloud security assessments, architecture reviews, and transformation initiatives for client environments
  • Defining cloud security strategies, target-state architectures, and implementation roadmaps aligned to business and technical objectives
  • Guiding the implementation of security controls across identity and access management, network security, encryption, logging, monitoring, and vulnerability management in AWS
  • Managing client relationships, delivery teams, and project workstreams while maintaining quality across complex cyber engagements
  • Supporting practice growth through mentoring, solution development, and participation in business development activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering helps organizations embed security across digital transformation by securing the client's technical backbone while enabling secure business transformation. The team brings capabilities across security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in cybersecurity, information security, or cloud security
  • 5+ years of experience designing and implementing security solutions in Amazon Web Services (AWS)
  • Experience leading client engagements, project workstreams, or delivery teams for cloud security or cyber transformation programs
  • Experience with AWS Identity and Access Management, network security, logging and monitoring, encryption, vulnerability management, and security architecture, including experience leading the development of security strategies, governance frameworks, and secure architectures for AI/ML, Generative AI, and Agentic AI workloads deployed on AWS, including services such as Amazon Bedrock and Amazon SageMaker
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • AWS Certified Security - Specialty, AWS Certified Solutions Architect, or similar cloud security certification
  • Experience with infrastructure as code tools such as Terraform or AWS CloudFormation
  • Experience with cloud security posture management, container security, or DevSecOps
  • Experience leading Machine Learning, Generative AI, or Agentic AI security programs, including risk assessments, governance frameworks, and secure architecture for platforms such as Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks
  • Experience advising clients on AI/ML security risk management, model and data protection, and guardrails for autonomous AI agents
  • Experience supporting cloud security programs in regulated environments, presenting recommendations to executive stakeholders, and contributing to proposals, statements of work, or business development efforts

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is seeking an AWS Cloud Security Senior Manager to lead the design and delivery of cloud security services within our Cyber practice. In this role, you will advise clients on securing Amazon Web Services (AWS) environments, shape cloud security strategies, and lead teams through complex transformation programs. The ideal candidate brings deep cloud security experience, client-facing leadership, and the ability to translate security requirements into scalable business solutions.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an AWS Cloud Security Senior Manager on the Enterprise Security team, you will be responsible for:

  • Leading AWS cloud security assessments, architecture reviews, and transformation initiatives for client environments
  • Defining cloud security strategies, target-state architectures, and implementation roadmaps aligned to business and technical objectives
  • Guiding the implementation of security controls across identity and access management, network security, encryption, logging, monitoring, and vulnerability management in AWS
  • Managing client relationships, delivery teams, and project workstreams while maintaining quality across complex cyber engagements
  • Supporting practice growth through mentoring, solution development, and participation in business development activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering helps organizations embed security across digital transformation by securing the client's technical backbone while enabling secure business transformation. The team brings capabilities across security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in cybersecurity, information security, or cloud security
  • 5+ years of experience designing and implementing security solutions in Amazon Web Services (AWS)
  • Experience leading client engagements, project workstreams, or delivery teams for cloud security or cyber transformation programs
  • Experience with AWS Identity and Access Management, network security, logging and monitoring, encryption, vulnerability management, and security architecture, including experience leading the development of security strategies, governance frameworks, and secure architectures for AI/ML, Generative AI, and Agentic AI workloads deployed on AWS, including services such as Amazon Bedrock and Amazon SageMaker
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • AWS Certified Security - Specialty, AWS Certified Solutions Architect, or similar cloud security certification
  • Experience with infrastructure as code tools such as Terraform or AWS CloudFormation
  • Experience with cloud security posture management, container security, or DevSecOps
  • Experience leading Machine Learning, Generative AI, or Agentic AI security programs, including risk assessments, governance frameworks, and secure architecture for platforms such as Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks
  • Experience advising clients on AI/ML security risk management, model and data protection, and guardrails for autonomous AI agents
  • Experience supporting cloud security programs in regulated environments, presenting recommendations to executive stakeholders, and contributing to proposals, statements of work, or business development efforts

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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