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Amazon Sagemaker Jobs in Colorado (NOW HIRING)

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 ...

... Amazon SageMaker/AWS machine learning tasks: • classification • regression • clustering • dimensionality reduction • natural language processing • recommender systems machine learning ...

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 ...

Lead Forward Deployed Engineer - AWS

Denver, CO · On-site

$105K - $139K/yr

Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ... Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM ...

Senior Appian Software Engineer

Denver, CO · On-site

$126K - $166K/yr

MS Cosmos DB, Apache Cassandra, Amazon DynamoDB) * Understanding of cloud services (e.g. AWS/Azure ... Knowledge of developing distributed computing (MS HPC, Sagemaker, Spark) * Two years of experience ...

Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ... Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM ...

Senior Forward Deployed Engineer- AWS

Denver, CO · On-site

$107K - $147K/yr

Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ... Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM ...

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 7, 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 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 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 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 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,102 per year, or $39 per hour.

Cyber - AWS Cloud Security - Manager

Deloitte

Colorado Springs, CO • On-site

$109K - $147K/yr

Other

Posted 8 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 150 rated financial services


Job description

Join Deloitte's Cyber team as an AWS Cloud Security Manager and help organizations address the complex challenges and opportunities of today's cybersecurity landscape. Our team delivers solutions and managed services that simplify complexity, strengthen resilience, and support secure business growth. In this role, you will work with clients to design and implement cloud security strategies that align to business, risk, and compliance priorities across transformation initiatives.

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

Work you'll do

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

  • Lead the design and implementation of Amazon Web Services (AWS) cloud security solutions aligned to client business, risk, and compliance requirements
  • Manage security assessments, architecture reviews, and remediation planning for cloud environments, applications, and infrastructure
  • Oversee delivery teams executing cloud security transformation, modernization, and migration initiatives
  • Advise clients on AWS identity and access management, network security, logging and monitoring, encryption, and secure configuration practices
  • Drive project execution, stakeholder coordination, quality reviews, and issue resolution across multiple workstreams

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 embed security across digital transformation by securing a client's technical backbone while enabling secure business transformation. The team supports 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
  • 6+ years of experience in cybersecurity, information security, or cloud security
  • 3+ years of experience designing, implementing, or assessing security controls in Amazon Web Services (AWS) environments
  • 3+ years of experience leading project teams, workstreams, or client engagements
  • Experience with AWS identity and access management, network security, encryption, logging and monitoring, cloud security architecture, security assessments, remediation planning, and secure configuration of artificial intelligence (AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including Amazon Bedrock and Amazon SageMaker, as well as mitigation of risks such as prompt injection, model exfiltration, data poisoning, and insecure agentic AI orchestration
  • 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:

  • Professional certification in Amazon Web Services (AWS), cloud security, or cybersecurity
  • Experience with container security, application security, or DevSecOps practices
  • 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 security risks and governance practices, including model and data protection, prompt injection defenses, and guardrails for autonomous AI agents
  • Experience supporting cloud transformation or migration programs, including application of security frameworks, regulatory requirements, or control standards in cloud environments
  • Master's degree

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 $134,500 to $265,100.

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:

Join Deloitte's Cyber team as an AWS Cloud Security Manager and help organizations address the complex challenges and opportunities of today's cybersecurity landscape. Our team delivers solutions and managed services that simplify complexity, strengthen resilience, and support secure business growth. In this role, you will work with clients to design and implement cloud security strategies that align to business, risk, and compliance priorities across transformation initiatives.

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

Work you'll do

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

  • Lead the design and implementation of Amazon Web Services (AWS) cloud security solutions aligned to client business, risk, and compliance requirements
  • Manage security assessments, architecture reviews, and remediation planning for cloud environments, applications, and infrastructure
  • Oversee delivery teams executing cloud security transformation, modernization, and migration initiatives
  • Advise clients on AWS identity and access management, network security, logging and monitoring, encryption, and secure configuration practices
  • Drive project execution, stakeholder coordination, quality reviews, and issue resolution across multiple workstreams

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 embed security across digital transformation by securing a client's technical backbone while enabling secure business transformation. The team supports 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
  • 6+ years of experience in cybersecurity, information security, or cloud security
  • 3+ years of experience designing, implementing, or assessing security controls in Amazon Web Services (AWS) environments
  • 3+ years of experience leading project teams, workstreams, or client engagements
  • Experience with AWS identity and access management, network security, encryption, logging and monitoring, cloud security architecture, security assessments, remediation planning, and secure configuration of artificial intelligence (AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including Amazon Bedrock and Amazon SageMaker, as well as mitigation of risks such as prompt injection, model exfiltration, data poisoning, and insecure agentic AI orchestration
  • 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:

  • Professional certification in Amazon Web Services (AWS), cloud security, or cybersecurity
  • Experience with container security, application security, or DevSecOps practices
  • 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 security risks and governance practices, including model and data protection, prompt injection defenses, and guardrails for autonomous AI agents
  • Experience supporting cloud transformation or migration programs, including application of security frameworks, regulatory requirements, or control standards in cloud environments
  • Master's degree

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 $134,500 to $265,100.

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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