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Principal Engineer, AI/ML Security

DigitalOcean

Denver, Colorado • Today

Full-time

USD 230,400.00 - 288,000.00 per year

DevSecOps Engineer (AI/ML)

CACI International, Inc.

Denver, Colorado • Today

Full-time

USD 82,100.00 - 172,400.00 per year

Principal AI/ML Engineer (Large Language Model)

CACI International, Inc.

Aurora, Colorado • Today

Full-time

USD 114,600.00 - 252,100.00 per year

Staff Computer Vision AI/ML Engineer

CACI International, Inc.

Aurora, Colorado • Today

Full-time

USD 114,600.00 - 252,100.00 per year

Senior Staff AI/ML Engineer

CACI International, Inc.

Aurora, Colorado • Today

Full-time

USD 114,600.00 - 252,100.00 per year

Full stack Ai Engineer-AI / ML Implementation, Python, TensorFlow, AI ML with Claude

Datum Software, Inc.

Remote • 19d ago

Easy Apply

Contract

Depends on Experience

Mid AI/ML Engineer

Booz Allen Hamilton

Aurora, Colorado • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Senior AI/ML Engineer

Booz Allen Hamilton

Aurora, Colorado • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior Security AI Engineer

EchoStar Corporation

Littleton, Colorado • Today

Full-time

USD 127,050.00 - 181,500.00 per year

AI/ML Engineer (Artificial Intelligence & Machine Learning) (TEST JOB POSTING)

Dice US Sales Demo Account

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Senior AI/ML Engineer

CACI International, Inc.

Aurora, Colorado • Today

Full-time

USD 82,100.00 - 172,400.00 per year

AI Security Engineer

Janus Henderson Investors

Denver, Colorado • Today

Full-time

USD 190,000.00 per year

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Computer Vision AI/ML Engineer

CACI International, Inc.

Aurora, Colorado • Today

Full-time

USD 69,100.00 - 141,500.00 per year

Senior Computer Vision AI/ML Engineer

CACI International, Inc.

Aurora, Colorado • Today

Full-time

USD 82,100.00 - 172,400.00 per year

Principal AI Security Engineer

Kyndryl

Remote or Pennsylvania • Today

Full-time

USD 179,760.00 - 341,520.00 per year

Sr Principal AI/ML Engineer: Office-Based preferred, will consider Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 184,600.00 - 316,500.00 per year

Principal AI/ML Platform Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

AI/ML DevOps Engineer Principal

General Dynamics

Remote • Today

Full-time

USD 119,000.00 - 161,000.00 per year

Principal AI/ML Engineer Remote Nationwide or Office-Based in MN/DC/NJ

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Principal AI Security Architect

Hexaware Technologies, Inc

Remote • 9d ago

Easy Apply

Full-time

Depends on Experience

Principal Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home - M

Next Step Systems

Remote • Today

Easy Apply

Full-time

$160,000 - $190,000

Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US

Revvity

Remote or Massachusetts • Today

Full-time

USD 200,000.00 - 235,000.00 per year

Principal AI Security Specialist - East

Zscaler

Remote or Massachusetts • Today

Full-time

USD 268,000.00 - 335,000.00 per year

Principal AI Security Specialist - Federal

Zscaler

Remote or McLean, Virginia • Today

Full-time

USD 268,000.00 - 335,000.00 per year

Staff Applied ML Engineer, Federal/National Security

Red Cell Partners

Remote or Washington • Today

Full-time

USD 180,000.00 - 240,000.00 per year

AI/ML Engineer - Denver, CO, Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS.

TechniPros, LLC

Remote or Denver, Colorado • Today

Easy Apply

Contract

Depends on Experience

Principal Machine Learning Engineer I** Hybrid in Horsham, PA or Remote EST Preferred

LexisNexis

Remote or Horsham, Pennsylvania • Today

Full-time

USD 136,100.00 - 252,800.00 per year

Principal Machine Learning Engineer I** Hybrid in Horsham, PA or Remote EST Preferred

Reed Elsevier Technology Services

Remote or Horsham, Pennsylvania • Today

Full-time

USD 136,100.00 - 252,800.00 per year

Principal Ai Engineer (Remote in CT)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$180000 - $245000

Job Details

Skills

Reporting
Security Controls
Security Engineering
Threat Modeling
Evaluation
Roadmaps
Data Integrity
Social Engineering
Cyber Security
Data Science
Extraction
Security Analysis
Leadership
IT Risk Management
IT Risk
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
RMF
Risk Management Framework
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Talent Management
Professional Development
Training
Market Analysis
Sales
DigitalOcean
SAP BASIS
Law

Reporting
Security Controls
Security Engineering
Threat Modeling
Evaluation
Roadmaps
Data Integrity
Social Engineering
Cyber Security
Data Science
Extraction
Security Analysis
Leadership
IT Risk Management
IT Risk
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
RMF
Risk Management Framework
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Talent Management
Professional Development
Training
Market Analysis
Sales
DigitalOcean
SAP BASIS
Law

Summary

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Principal Engineer, AI/ML Security who is passionate about securing AI systems and operationalizing ML-powered security at cloud scale.

In this role, you will report to the VP, Deputy CISO and partner closely with Security Data Science and Security leadership teams. You will lead DigitalOcean's engagement with the external AI security community and serve as our internal expert and escalation point for all AI-related security risk.
What You'll Do:

Partner with Product Security and Engineering leadership to define how AI security controls are integrated into DigitalOcean's customer-facing products.
Partner with Security Data Science and Security Engineering to build, deploy, and serve in-house AI/ML models, guardrails, tooling, and automations. Participate in ongoing monitoring of deployed models to detect drift, evaluate performance, and plan and implement improvements alongside model stakeholders.
Lead adversarial testing and AI red teaming, including jailbreaking, prompt-injection, evasion, and poisoning testing.
Lead security reviews of major AI product initiatives from design through launch, providing architectural sign-off and escalation guidance for high-risk decisions.
Threat modeling across the AI lifecycle: data ingestion, training/fine-tuning, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring
Own and drive DigitalOcean's AI Security strategy and multi-year roadmap, defining where we invest, what risks we prioritize, and how AI security evolves as the threat landscape and product portfolio change.
Architect and lead the AI Risk & Governance framework: establishing policies, standards, and controls for the responsible development, deployment, and monitoring of AI/ML systems across DigitalOcean and Cloudways.
Represent AI security at executive and board-level briefings; communicate risk posture, program progress, and strategic decisions to the CISO and senior leadership in clear, business-contextualised terms.
Define DigitalOcean's position on emerging AI security topics including agentic AI, model supply chain risk, synthetic data integrity, and AI-enabled social engineering.

What You'll Add to DigitalOcean:

10+ years of experience in cybersecurity, with at least 4-5 years focused on AI/ML security, adversarial machine learning, or security data science in a production cloud or technology environment.
Demonstrated track record of defining and driving AI or security programs at an organizational level - not just executing within them. You have owned a strategy, not just implemented one.
Deep, practitioner-level knowledge of adversarial ML attack and defence: evasion, poisoning, model extraction, membership inference, and prompt injection at both conceptual and implementation depth.
Ability to read, evaluate, and synthesise academic AI security research and translate it into concrete engineering guidance and organizational policy.
Experience engaging executive and senior leadership audiences on technical risk: you can translate complex AI threat scenarios into business-level impact and justify investment decisions accordingly.
Strong programming skills in Python and Go with a track record of building security tooling and automation, not just reviewing others' code. You can stand up adversarial testing, detection, and guardrail capabilities yourself.
Proficiency reviewing and critiquing AI/ML system architecture (data ingestion, feature engineering, training pipelines, model serving, continuous monitoring) made by ML engineers and data scientists.
Hands-on experience with AI red-team and defensive tooling and with model supply-chain frameworks.
Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or a related field - or equivalent depth of practical experience.
Fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Prior experience in a cloud provider, security product company, or large-scale internet platform where AI/ML systems operate at significant customer-facing scale.
Familiarity with LLM security in production: securing RAG pipelines, agentic frameworks, and model APIs against prompt injection, jailbreaking, and data exfiltration.

Compensation Range:

$230,400 - $288,000
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean's annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

*This is a remote role

JR: 2026-7824

#LI-Remote

Why You'll Like Working for DigitalOcean

We innovate with purpose. You'll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you'll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
We prioritize career development. At DigitalOcean, you'll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.

Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean's annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91116063
Position Id: ebecb74f2cfebf9595fd1b295aa83f68
Posted 30+ days ago

Fitment

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Full-time

USD 179,760.00 - 341,520.00 per year

Job Details

Skills

Reporting
Security Controls
Security Engineering
Threat Modeling
Evaluation
Roadmaps
Data Integrity
Social Engineering
Cyber Security
Data Science
Extraction
Security Analysis
Leadership
IT Risk Management
IT Risk
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
RMF
Risk Management Framework
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Talent Management
Professional Development
Training
Market Analysis
Sales
DigitalOcean
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Law

Reporting
Security Controls
Security Engineering
Threat Modeling
Evaluation
Roadmaps
Data Integrity
Social Engineering
Cyber Security
Data Science
Extraction
Security Analysis
Leadership
IT Risk Management
IT Risk
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
RMF
Risk Management Framework
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Talent Management
Professional Development
Training
Market Analysis
Sales
DigitalOcean
SAP BASIS
Law

Summary

Partner with Product Security and Engineering leadership to define how AI security controls are integrated into DigitalOcean's customer-facing products.
Partner with Security Data Science and Security Engineering to build, deploy, and serve in-house AI/ML models, guardrails, tooling, and automations. Participate in ongoing monitoring of deployed models to detect drift, evaluate performance, and plan and implement improvements alongside model stakeholders.
Lead adversarial testing and AI red teaming, including jailbreaking, prompt-injection, evasion, and poisoning testing.
Lead security reviews of major AI product initiatives from design through launch, providing architectural sign-off and escalation guidance for high-risk decisions.
Threat modeling across the AI lifecycle: data ingestion, training/fine-tuning, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring
Own and drive DigitalOcean's AI Security strategy and multi-year roadmap, defining where we invest, what risks we prioritize, and how AI security evolves as the threat landscape and product portfolio change.
Architect and lead the AI Risk & Governance framework: establishing policies, standards, and controls for the responsible development, deployment, and monitoring of AI/ML systems across DigitalOcean and Cloudways.
Represent AI security at executive and board-level briefings; communicate risk posture, program progress, and strategic decisions to the CISO and senior leadership in clear, business-contextualised terms.
Define DigitalOcean's position on emerging AI security topics including agentic AI, model supply chain risk, synthetic data integrity, and AI-enabled social engineering.

What You'll Add to DigitalOcean:

10+ years of experience in cybersecurity, with at least 4-5 years focused on AI/ML security, adversarial machine learning, or security data science in a production cloud or technology environment.
Demonstrated track record of defining and driving AI or security programs at an organizational level - not just executing within them. You have owned a strategy, not just implemented one.
Deep, practitioner-level knowledge of adversarial ML attack and defence: evasion, poisoning, model extraction, membership inference, and prompt injection at both conceptual and implementation depth.
Ability to read, evaluate, and synthesise academic AI security research and translate it into concrete engineering guidance and organizational policy.
Experience engaging executive and senior leadership audiences on technical risk: you can translate complex AI threat scenarios into business-level impact and justify investment decisions accordingly.
Strong programming skills in Python and Go with a track record of building security tooling and automation, not just reviewing others' code. You can stand up adversarial testing, detection, and guardrail capabilities yourself.
Proficiency reviewing and critiquing AI/ML system architecture (data ingestion, feature engineering, training pipelines, model serving, continuous monitoring) made by ML engineers and data scientists.
Hands-on experience with AI red-team and defensive tooling and with model supply-chain frameworks.
Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or a related field - or equivalent depth of practical experience.
Fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Prior experience in a cloud provider, security product company, or large-scale internet platform where AI/ML systems operate at significant customer-facing scale.
Familiarity with LLM security in production: securing RAG pipelines, agentic frameworks, and model APIs against prompt injection, jailbreaking, and data exfiltration.

Compensation Range:

$230,400 - $288,000
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean's annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

*This is a remote role

JR: 2026-7824

#LI-Remote

Why You'll Like Working for DigitalOcean

We innovate with purpose. You'll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you'll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
We prioritize career development. At DigitalOcean, you'll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.

Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean's annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

Dice Id: 91116063
Position Id: ebecb74f2cfebf9595fd1b295aa83f68
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

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