Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls. \n * Support OT incident response, threat hunting, forensic investigations, and ...
Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls. \n * Support OT incident response, threat hunting, forensic investigations, and ...
Mechanical/Electrical Engineer
Denver, CO · On-site +1
Keystone specializes in forensic engineering and investigative services for commercial and ... Our multi-disciplinary team includes highly experienced engineers, architects, fire investigators ...
Mechanical/Electrical Engineer
Denver, CO · On-site +1
Keystone specializes in forensic engineering and investigative services for commercial and ... Our multi-disciplinary team includes highly experienced engineers, architects, fire investigators ...
Lead Fire Protection Engineer - Fire Alarm Design
Denver, CO · Remote
$85K - $115K/yr
... forensic investigations, security risk consulting, emergency management, digital innovation and ... Review and interpret architectural and engineering drawings for code compliance. * Prepare detailed ...
Lead Fire Protection Engineer - Fire Alarm Design
Denver, CO · Remote
$85K - $115K/yr
... forensic investigations, security risk consulting, emergency management, digital innovation and ... Review and interpret architectural and engineering drawings for code compliance. * Prepare detailed ...
Field Technical Specialist
Arvada, CO · Remote
Remote (National Role; supporting East or West Region) Travel: Up to or greater than 75%, including ... Technical degree in Engineering, Architecture, Construction Technology, Building Sciences, or a ...
Field Technical Specialist
Arvada, CO · Remote
Remote (National Role; supporting East or West Region) Travel: Up to or greater than 75%, including ... Technical degree in Engineering, Architecture, Construction Technology, Building Sciences, or a ...
Forensic Architect Remote information
What does a forensic architect do when working remotely?
A Forensic Architect investigates building failures, defects, and safety issues, often analyzing structural problems, design flaws, or code violations. When working remotely, they review project documents, photos, and digital models, conduct virtual interviews, and prepare detailed reports or expert testimony. They may use specialized software for building analysis and collaborate with engineers, legal teams, and insurance companies to determine the causes of construction issues. Remote work relies heavily on digital communication, document review, and virtual site assessments when physical visits are not possible.
How does a forensic architect typically collaborate with legal teams and other stakeholders during investigations?
As a remote Forensic Architect, you will frequently collaborate with legal teams, insurance adjusters, and engineering consultants through virtual meetings, secure document sharing platforms, and digital presentation tools. Effective communication is essential, as you will need to clearly explain technical building issues and investigation findings to non-architectural professionals. You may also be responsible for preparing detailed reports, participating in depositions, and virtually presenting expert testimony. Building strong, trust-based relationships remotely can be a challenge, but proactive communication and using collaborative technology can help bridge the distance.
What are the key skills and qualifications needed to thrive as a forensic architect in a remote role, and why are they important?
A Forensic Architect typically needs a professional architecture degree, licensure, and expertise in building codes, structural analysis, and construction practices. Proficiency with digital design tools (such as AutoCAD, BIM software), forensic analysis software, and reporting systems is crucial. Strong analytical thinking, attention to detail, written communication, and the ability to work independently are standout soft skills for remote forensic work. These skills ensure accurate investigations, effective collaboration with legal teams, and clear documentation of findings, which are vital for resolving building failures or disputes remotely.
What is the difference between Forensic Architect Remote vs Forensic Engineer?
| Aspect | Forensic Architect Remote | Forensic Engineer |
|---|---|---|
| Credentials | Architect license, certifications in building codes | Engineering degree, PE license |
| Work Environment | Remote, project-based investigations | On-site or remote, technical analysis |
| Industry Usage | Building failure, fire, and structural disputes | Structural failures, accident reconstructions |
Forensic Architect Remote and Forensic Engineer both analyze building-related issues, often requiring similar credentials. The main difference lies in their focus: architects specialize in building design and codes, while engineers focus on structural analysis. Both roles may work remotely and are used in legal or insurance investigations related to construction failures.
How do you become a forensic architect?
To become a forensic architect, you typically need a professional degree in architecture or engineering, followed by relevant work experience in building inspection or construction. Gaining specialized knowledge in building failure analysis, often through certifications or training, and developing skills in investigation and report writing are also important for this role.
How much do forensic architects make?
Forensic architects typically earn between $60,000 and $120,000 annually, depending on experience, location, and the complexity of cases handled. Many work as independent consultants or for firms, often requiring knowledge of building codes, investigation techniques, and report writing.
Is it possible to work remotely as a forensic architect?
Forensic architects can sometimes work remotely, especially for tasks such as report writing, analysis, and consulting that do not require on-site presence. However, site inspections and investigations often require physical presence at the damage or failure sites, making full remote work less common. The feasibility depends on the employer, project requirements, and the specific responsibilities involved.
What are popular job titles related to Forensic Architect Remote jobs in Colorado?
For Forensic Architect Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Forensic Architect Remote jobs in Colorado look for?
The top searched job categories for Forensic Architect Remote jobs in Colorado are:
What cities in Colorado are hiring for Forensic Architect Remote jobs?
Cities in Colorado with the most Forensic Architect Remote job openings:
Contractor
Posted 4 days ago
Job description
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Cyber AI Security & Forensic Engineer - IT & OT<\/b>
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\n Location:<\/b> South Denver, CO
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Duration:<\/b> Long Term
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Positions:<\/b> 2 Openings - 1 IT \/ 1 OT
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\n Work Arrangement:<\/b> 2days Onsite \-Hybrid as required by the client
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Job Summary<\/b>
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We are seeking experienced Cyber AI Security & Forensic Engineers<\/b> to help identify, assess, and mitigate emerging cybersecurity risks associated with Artificial Intelligence, Large Language Models (LLMs), Generative AI, and autonomous\/agentic AI systems<\/b>.
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There are two openings for this position:
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- IT Cyber AI Security & Forensic Engineer:<\/b> Focused on enterprise applications, cloud environments, LLM\/GenAI applications, APIs, AI agents, and application security.
<\/li>\n- OT Cyber AI Security & Forensic Engineer:<\/b> Focused on applying AI security and cybersecurity principles within Operational Technology (OT), Industrial Control Systems (ICS), SCADA, and industrial environments<\/b>.
<\/li>\n <\/ul>The ideal candidates will have a strong cybersecurity foundation combined with hands\-on experience assessing AI\/LLM applications, identifying vulnerabilities and bypass techniques, recommending security controls, and applying security frameworks such as OWASP<\/b>.
<\/p>Key Responsibilities<\/b>
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- Perform security testing of AI applications, LLMs, Generative AI solutions, and AI\-enabled platforms<\/b> to identify vulnerabilities, weaknesses, misuse cases, and potential bypass techniques.
<\/li>\n- Conduct AI\/LLM security assessments, including testing for prompt injection, jailbreaks, data leakage, insecure outputs, model manipulation, and unauthorized access<\/b>.
<\/li>\n- Evaluate AI applications and integrations for security weaknesses across APIs, data sources, tools, plugins, and external services.
<\/li>\n- Assess agentic AI architectures<\/b> and autonomous software agents to understand how agents interact with external tools, APIs, data, and enterprise systems.
<\/li>\n- Evaluate agent permissions, tool access, authentication, authorization, and least\-privilege controls.
<\/li>\n- Identify risks associated with excessive agency, insecure tool use, indirect prompt injection, and unauthorized actions.
<\/li>\n- Recommend secure AI and data usage practices<\/b>, including data protection, access controls, secure prompts, guardrails, and responsible AI practices.
<\/li>\n- Apply OWASP Top 10, OWASP API Security Top 10, OWASP LLM Top 10<\/b>, and other applicable security standards to identify and communicate security risks.
<\/li>\n- Perform threat modeling and security assessments for AI\-enabled applications and services.
<\/li>\n- Work with application, cloud, data, infrastructure, and cybersecurity teams to remediate identified vulnerabilities.
<\/li>\n- Support vulnerability management, incident investigations, digital forensics, and root\-cause analysis where required.
<\/li>\n- Review logs, telemetry, application behavior, and security events to identify suspicious or malicious AI activity.
<\/li>\n- Develop security recommendations, assessment reports, remediation plans, and technical documentation.
<\/li>\n- Stay current with emerging AI attack techniques, LLM vulnerabilities, agentic AI risks, and AI security frameworks.
<\/li>\n <\/ul>IT Position - Additional Responsibilities<\/b>
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- Assess security of enterprise LLM\/GenAI applications, APIs, cloud services, RAG solutions, vector databases, and AI integrations<\/b>.
<\/li>\n- Test AI applications for prompt injection, jailbreaks, sensitive information disclosure, insecure output handling, and data poisoning.
<\/li>\n- Review AI integrations with enterprise applications, SaaS platforms, APIs, and external tools.
<\/li>\n- Evaluate cloud security controls across AWS, Azure, or GCP<\/b> environments.
<\/li>\n- Support application security, API security, secure SDLC, SAST\/DAST, and DevSecOps initiatives.
<\/li>\n- Analyze AI application logs and telemetry for security anomalies and potential abuse.
<\/li>\n <\/ul>OT Position - Additional Responsibilities<\/b>
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- Apply AI and cybersecurity security practices to Operational Technology environments<\/b>, including ICS, SCADA, PLC, DCS, and industrial control systems.
<\/li>\n- Assess security risks associated with AI\-enabled OT applications and autonomous systems.
<\/li>\n- Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls.
<\/li>\n- Support OT incident response, threat hunting, forensic investigations, and security assessments.
<\/li>\n- Evaluate the potential impact of AI\-driven attacks or compromised AI systems on industrial environments.
<\/li>\n- Work closely with OT engineering, controls, infrastructure, and cybersecurity teams to identify and mitigate risks.
<\/li>\n <\/ul>Required Qualifications<\/b>
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- Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
<\/li>\n - Strong cybersecurity engineering, application security, penetration testing, or security assessment experience.
<\/li>\n - Hands\-on experience with AI\/ML security, LLM security, Generative AI security, or AI application testing<\/b>.
<\/li>\n- Understanding of common LLM and AI vulnerabilities, attack techniques, and security controls.
<\/li>\n- Experience with OWASP Top 10<\/b> and preferably OWASP LLM Top 10 \/ OWASP Agentic AI security concepts<\/b>.
<\/li>\n- Experience with threat modeling, vulnerability assessment, security testing, and risk analysis.
<\/li>\n- Understanding of authentication, authorization, API security, data protection, and least\-privilege principles.
<\/li>\n- Experience analyzing security findings and providing practical remediation recommendations.
<\/li>\n- Strong analytical, troubleshooting, documentation, and communication skills.
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\n <\/body>\n<\/html> - Understanding of common LLM and AI vulnerabilities, attack techniques, and security controls.
- Assess security risks associated with AI\-enabled OT applications and autonomous systems.
- Test AI applications for prompt injection, jailbreaks, sensitive information disclosure, insecure output handling, and data poisoning.
- Conduct AI\/LLM security assessments, including testing for prompt injection, jailbreaks, data leakage, insecure outputs, model manipulation, and unauthorized access<\/b>.
- OT Cyber AI Security & Forensic Engineer:<\/b> Focused on applying AI security and cybersecurity principles within Operational Technology (OT), Industrial Control Systems (ICS), SCADA, and industrial environments<\/b>.