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Added 1 min ago
Phenomenal Data Engineer (2+ years - Senior Level)
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Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and machine learning capabilities
Added 2 mins ago
Senior Manager, Manufacturing Engineering- Digital Factory Manufacturing Engineer
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The Advanced Operations Technology (AOT) organization is seeking an experienced and visionary Senior Manager, Digital Factory, to lead the strategy, architecture, and implementation of…
Added 2 mins ago
Software Engineering & AI Intern
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Staff Algorithm/AI Engineer
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Design, develop, and implement scalable machine learning and AI algorithms for business-critical applications.
Added 4 mins ago
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Sr AI/ML Engineer - Remote Nationwide or Office-Based in MN/DC/NJ
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Experience building and deploying AI/ML solutions or integrating machine learning models into enterprise web applications
Added 5 mins ago
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Principal Data Engineer - Remote
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- $112,700 to $193,200 USD / year
As a Principal Data Engineer within the Optum Insight Engineering AI team, you will design and develop robust public cloud data systems, services, and reusable patterns that drive massive…
Added 16 mins ago
PhD Intern, Software Engineer - Interaction Design (2027)
Figma
CA • New York, NY
Current enrollment as a 4th or 5th year senior PhD student pursuing a PhD in Computer Science, Human-Computer Interaction, Artificial Intelligence, Machine Learning, or a related field
Added 19 mins ago
Staff Test Engineer
Wabtec
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Exposure to AI-assisted engineering and testing tools, including generative AI, machine learning–based analytics, and intelligent automation. Demonstrated willingness to adopt emerging AI…
Added 20 mins ago
Applied AI Engineer
CCI Systems, Inc.
Janesville, WI · St. Louis, MO · Ashland, OH · San Marcos, TX · Waco, TX · Fredericksburg, VA · Springfield, OH · New Richmond, WI · Wausaukee, WI · Cheboygan, MI · Manistique, MI · Galveston, TX · Corpus Christi, TX · Marshfield, WI · Hollywood, FL · Pembroke Pines, FL · Fort Lauderdale, FL · Richmond, KY · Alexandria, VA · Arlington, VA · Canton, OH · Waukesha, WI · Dearborn, MI · Flint, MI · Warren, MI · Ypsilanti, MI · Ann Arbor, MI · Saginaw, MI · Lubbock, TX · Orlando, FL · Gainesville, FL · Jefferson City, MO · Eagle River, WI · Merrill, WI · Crandon, WI · Gatlinburg, TN · Newport News, VA · Norfolk, VA · Virginia Beach, VA · Racine, WI · Kenosha, WI · Dayton, OH · Toledo, OH · Evansville, IN · Gary, IN · Wisconsin Rapids, WI · Platteville, WI · Sheboygan, WI · Manitowoc, WI · Columbus, GA · Albany, GA · Savannah, GA · Fort Myers, FL · Jacksonville, FL · Tallahassee, FL · Menasha, WI · Ashwaubenon, WI · De Pere, WI · Little Chute, WI · Kaukauna, WI · Neenah, WI · Oshkosh, WI · Cincinnati, OH · Cleveland, OH · La Crosse, WI · Wisconsin Dells, WI · Ironwood, MI · Sault Ste. Marie, MI · Des Moines, IA · Edmond, OK · Norman, OK · Lexington, KY · Louisville, KY · Knoxville, TN · El Paso, TX · Fort Worth, TX · San Antonio, TX · Oconto, WI · Rhinelander, WI · Menominee, MI · Marinette, WI · Lynchburg, VA · Traverse City, MI · Kalamazoo, MI · Big Rapids, MI · Lansing, MI · Gaylord, MI · Independence, MO · Columbia, MO · Springfield, MO · Negaunee, MI · Ishpeming, MI · Escanaba, MI · Shawano, WI · Coleman, WI · Abrams, WI · Houghton, MI · Marquette, MI · Columbus, OH · Irving, TX · Livonia, MI · Wausau, WI · Iron Mountain, MI · Oklahoma City, OK · Tulsa, OK · Houston, TX · Atlanta, GA · Tampa, FL · Miami, FL · Austin, TX · Kansas City, MO · Nashville, TN · Green Bay, WI · Dallas, TX · Three Lakes, WI · Milwaukee, WI · Richmond, VA · Stevens Point, WI · Fond du Lac, WI · Eau Claire, WI · Detroit, MI · Crivitz, WI · Grand Rapids, MI · Roanoke, VA · Madison, WI · Appleton, WI · Charlottesville, VA
Develop solutions using LLMs, retrieval-augmented generation (RAG), machine learning, Microsoft Copilot technologies, APIs, workflow automation, and cloud-native services.
Added 21 mins ago
Machine Learning Engineer
Raydar
San Francisco, CA
Raydar is recruiting for this role on behalf of our client. Build and evaluate machine learning systems for an interactive consumer product, spanning research and production. You will take…
Added 29 mins ago
DevOps Cloud Engineer - EviCore - Remote
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Bloomfield, CT
Summary: We're looking for smart, passionate, and collaborative individuals who are committed to improving the healthcare system. As a member of our DevOps team, you'll work alongside…
Added 37 mins ago
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Added 39 mins ago
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Added 39 mins ago
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Added 46 mins ago
Digital Engineer
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Forward Deployed Full-Stack Engineer (Patuxent River, MD / Mid-level)
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- $65 to $80 USD / hour
Mpathic is seeking a Full Stack Software Engineer to design, develop, and maintain software solutions that support customer-facing applications, internal operations, and emerging AI-driven…
Added 58 mins ago
Embedded Software Engineer – AI and Web
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Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline, or equivalent…
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The Director, AI & Analytics is a collaborative & technical partner that seeks opportunities to learn and engage across the enterprise. The Director, AI & Analytics will lead, architect,…
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AI Engineer 5
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 1 hour ago
AI Engineer 4
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San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…

Closed listing

Amentum

Senior Cybersecurity Architect (Cloud)

Frankfort, KY, United States

$150K - 165K

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $150K - 165K
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

Purpose and scope

The Senior Cloud Security Architect is a hands-on senior engineering position that designs, builds, deploys, and maintains security controls across commercial and government cloud environments, including Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services. Its scope includes software, platform, infrastructure, virtual desktop, and approved cloud-based artificial intelligence services. The role leads technical design for complex work while remaining directly involved in configuration, infrastructure as code, deployment automation, testing, troubleshooting, control validation, and operational support. A central responsibility is establishing and implementing the security patterns that allow the organization to adopt generative AI, machine learning, enterprise copilots, and agentic systems safely across commercial, government, and CUI environments. It applies government, defense-industry, privacy, and international security frameworks to practical technical designs. This role reports to the Senior Cybersecurity Architect & Senior Manager.

Essential responsibilities

Cloud security engineering and design

Design and implement security controls and reusable patterns across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services, including cloud guardrails, landing zones, workload protections, and virtual desktop environments.
Design and implement security architectures for generative AI, machine learning, enterprise copilot, and agentic systems, including secure access, data protection, identity, logging, content safety, and human-oversight controls. Evaluate AI services and integrations for threats such as prompt injection, data leakage, excessive permissions, insecure model or plugin connections, and unauthorized use of sensitive or CUI data. Establish reusable governance and technical patterns for the secure adoption, monitoring, testing, and lifecycle management of AI capabilities across commercial, government, and hybrid cloud environments.
Perform hands-on configuration, testing, troubleshooting, and tuning for complex cloud security implementations and platform integrations.
Build and maintain reusable infrastructure-as-code components and deployment automation for security policies, controls, and platform onboarding.
Lead focused design reviews and threat modeling for new services, major changes, and higher-risk use cases, then help implement the approved approach.

Cloud security platforms and operations

Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage, alert integrations, and platform health.
Lead complex platform changes and escalations while sharing implementation, tuning, and support work with the Cloud Security Engineer.
Integrate cloud security telemetry with enterprise monitoring and response platforms and support escalated investigations when cloud expertise is needed.
Partner with Vulnerability Management on exposure prioritization and tracking and work with cloud platform owners on practical remediation approaches.

Government cloud and compliance engineering

Design and validate technical controls that support CMMC and applicable NIST requirements, including NIST SP 800-171 and NIST SP 800-172.
Develop secure patterns for Microsoft 365 GCC High and CUI workloads that account for tenant and security boundaries, government-cloud service limitations, data handling requirements, and controlled connectivity with commercial environments.
Translate applicable requirements from DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, and other relevant frameworks into implementable technical control objectives in coordination with Risk and Compliance.
Lead technical risk assessments and control testing, document compensating controls and exceptions, and provide implementation evidence and technical support for internal and external assessments.

Artificial intelligence and agent security

Design and implement reusable security patterns for AI and machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, model and data integrations, and automated tools.
Define and configure identity and access controls, data-source permissions, agent and workload identities, secrets handling, execution boundaries, sandboxing, tool restrictions, human approval controls, network egress, and audit logging.
Lead threat modeling and hands-on security testing for risks such as prompt injection, indirect prompt injection, sensitive-data exposure, unsafe tool execution, excessive agency, over-privileged connectors, and manipulation of models or grounding content.
Evaluate AI platforms, models, services, and new features for security, privacy, data residency, government-cloud availability, CUI suitability, and integration risk; document required controls and approved conditions of use.
Develop reference implementations, infrastructure-as-code components, deployment automation, and validation methods that allow AI safeguards to be applied consistently.
Define AI telemetry and investigation requirements with Security Operations and Detection Engineering, then support escalated investigations, control improvements, and secure recovery when specialized cloud or AI expertise is needed.

Collaboration and technical leadership

Integrate Identity, Network Security, Data Security, Vulnerability Management, and Security Operations requirements into cloud implementations while keeping ownership with the responsible teams.
Provide practical design and engineering guidance to cloud platform owners, application teams, IT, and connected program sites, including options and tradeoffs when requirements compete.
Maintain configuration standards, implementation guides, reusable deployment patterns, diagrams, threat models, operating procedures, and decision records.
Translate applicable security and regulatory requirements into technical control objectives and provide technical evidence or input for assessments and audits when requested.
Mentor engineers, review technical work, and provide hands-on support for complex cloud and AI security issues without assuming personnel-management responsibility.

Performs other duties as assigned.

Knowledge, Skills, & Abilities

Strong hands-on knowledge of Microsoft cloud or AWS security capabilities.
Ability to explain technical decisions, tradeoffs, and risk clearly to engineering teams, leaders, and non-technical stakeholders.

Minimum qualifications

U.S. citizenship is required for this position.
Typically eight or more years of relevant experience to include five years in cloud, security, systems, or infrastructure engineering, including hands-on responsibility for design and implementation with a Bachelor's degree in cybersecurity, information technology, computer science, engineering, or a related field, or an equivalent combination of education and relevant experience.
Strong hands-on knowledge of Microsoft cloud or AWS security capabilities demonstrated by practical experience supporting Microsoft 365, Azure, AWS, and hybrid services.
Experience designing, deploying, and troubleshooting controls for cloud identity, network segmentation, data protection, logging, posture management, and workload protection.
Experience applying cloud security principles to AI or machine-learning services, generative AI applications, enterprise copilots, agents, or comparable automated platforms, including threat modeling and control design.
Experience using infrastructure as code, source control, scripting, and deployment automation to implement and maintain cloud controls.
Experience with threat modeling, technical risk assessment, and translating security or regulatory requirements into working technical solutions.

Preferred qualifications

Experience with a cloud security posture management, workload protection, or cloud-native application protection platform.
Experience supporting government, defense-industrial-base, CUI, or other regulated cloud environments through assessments, audits, or major control implementations.
Hands-on experience with Microsoft 365 GCC High or a comparable government cloud environment, including regulated-data boundaries, service limitations, and cross-environment design considerations.
Working knowledge of government and defense-industry security requirements, including CMMC, NIST SP 800-171 and NIST SP 800-172 concepts.
Familiarity with DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, or comparable regulatory and international requirements.
Hands-on experience securing retrieval-augmented generation, agentic workflows, AI connectors and tools, model or data integrations, or AI security monitoring.
A relevant security or cloud architecture certification, such as CISSP, CCSP, an Azure or AWS security or architecture certification, or comparable training.

Work environment physical demands and mental demands

Typical office environment with no unusual hazards, occasional lifting up to 50 pounds, constant sitting while using a computer terminal, constant use of sight while reviewing documents, constant use of speech and hearing for communication, constant mental alertness, and the ability to plan and organize work and meet deadlines. Other related cloud security duties may be assigned.

Compensation Details:

$150K - 165K

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters (https://postings.govdocs.com/#/vxSkbztPuAwwxfs) .

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