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Remote Risk Engineer Jobs in South Carolina (NOW HIRING)

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Programming & Process automation: Experience with file I/O, database integrations, and APIs to ...

Formic

Automation Sales Manager

Simpsonville, SC · Remote

By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Formic

Automation Sales Manager

Greer, SC · Remote

By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Formic

Automation Sales Manager

Spartanburg, SC · Remote

By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Formic

Automation Sales Manager

Greenville, SC · Remote

By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Formic

Automation Sales Manager

Anderson, SC · Remote

By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Anatta Design

Account Manager

Charleston, SC · On-site +1

Identify and proactively solve scope creep, stakeholder misalignment, and delivery risk - bringing ... Translate between technical and business contexts: communicate engineering constraints clearly to ...

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Remote Risk Engineer information

How does a remote risk engineer typically collaborate with cross-functional teams to address potential risks?

As a Remote Risk Engineer, you’ll regularly work with cross-functional teams such as IT, operations, product management, and compliance to identify, assess, and mitigate potential risks. Collaboration often involves virtual meetings, shared documentation, and real-time communication tools to ensure risks are clearly communicated and addressed promptly. You may participate in risk assessments, review system designs, and provide recommendations to enhance security and operational resilience. Building strong relationships and maintaining proactive communication with team members is key to ensuring risks are managed effectively, even when working remotely.

What are the key skills and qualifications needed to thrive as a remote risk engineer?

To thrive as a Remote Risk Engineer, you need a solid background in risk assessment, engineering principles, and relevant degree qualifications such as in engineering or risk management. Familiarity with risk modeling software, data analysis tools, and industry-specific certifications like Certified Risk Engineer (CRE) are often required. Strong analytical thinking, problem-solving, and effective virtual communication skills help you excel when collaborating with clients and remote teams. These capabilities are crucial to accurately identifying risks, designing mitigation strategies, and ensuring the safety and compliance of client operations from a remote environment.

What is the difference between Remote Risk Engineer vs Remote Underwriter?

AspectRemote Risk EngineerRemote Underwriter
Required CredentialsBachelor's in Engineering, Risk Management certificationsBachelor's in Finance, Insurance certifications
Work EnvironmentAnalyzing technical risks, data modelingAssessing insurance applications, policy evaluation
Employer & Industry UsageInsurance, finance, engineering firmsInsurance companies, brokerage firms

Remote Risk Engineers focus on analyzing technical and operational risks using engineering principles, while Remote Underwriters evaluate insurance applications and determine policy terms. Both roles require analytical skills and industry-specific certifications, often working remotely for insurance or risk management companies. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a remote risk engineer?

A Remote Risk Engineer is a professional who evaluates and manages risks for an organization, often related to safety, cybersecurity, or insurance, while working from a remote location. They analyze data, identify potential hazards or vulnerabilities, and recommend solutions to minimize losses or damages. This job typically requires strong analytical skills, knowledge of risk assessment methodologies, and effective communication, as much of the work may involve collaborating virtually with teams and clients. Remote Risk Engineers may specialize in various industries, including finance, manufacturing, or technology.

What are popular job titles related to Remote Risk Engineer jobs in South Carolina?

For Remote Risk Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Risk Engineer jobs in South Carolina look for?

The top searched job categories for Remote Risk Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Risk Engineer jobs?

Cities in South Carolina with the most Remote Risk Engineer job openings:

Remote Risk Engineer jobs near you

AI Consultant - Contract - Columbia, SC

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

$50 - $55/hr

Full-time

Posted 12 days ago

Job description

AI Consultant SME
Location: Fully Remote with occasional onsite visits required.

Interview Process: 1 round, Virtual/Online
Duration: 12 Months
Employment Type: Contract
Experience Required: 05+ Years

Candidate location: No South Carolina residency required. Open to nationwide candidates; must be able to work eastern time zone hours. All travel-related costs for onsite work will be the responsibility of the resource, regardless of the frequency of onsite work.

Project Scope:

We are seeking an experienced AI Consultant SME to provide technical leadership in the evaluation, design, and responsible implementation of Artificial Intelligence solutions. The ideal candidate will support enterprise AI initiatives by assessing AI use cases, evaluating AI platforms and vendors, developing secure AI architectures, and implementing scalable AI solutions aligned with governance, security, and privacy standards.


Key Responsibilities:

· Support the development and implementation of enterprise AI strategies.

· Evaluate AI use cases, vendors, and platforms to ensure compliance with organizational standards.

· Promote standardized AI governance, processes, and best practices.

· Design secure AI architectures and reusable technical patterns.

· Develop AI prototypes and conduct proof-of-concept (POC) and feasibility assessments.

· Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions.

· Build dashboards and reports to monitor AI adoption, performance, costs, risks, and operational outcomes.

· Integrate AI capabilities with Azure and AWS cloud platforms.

· Provide technical guidance, documentation, and knowledge transfer to stakeholders.

· Stay current with emerging AI technologies, tools, and industry best practices.


Required Skills & Experience:

· 5+ years of overall IT experience.

· 1+ year of experience establishing proof-of-concept success criteria and evaluating AI solutions.

· 2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and similar Generative AI platforms.

· 2+ years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions.

· 1+ year of experience using AI-assisted coding tools for development, testing, debugging, and documentation.

· 1+ year of experience defining AI use case success criteria, KPIs, and production monitoring metrics.

· 1+ year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.

· 1+ year of hands-on experience integrating AI capabilities with Azure and AWS.

· Strong analytical, problem-solving, and communication skills.


Preferred Skills:

· Experience with multiple programming languages and software development principles.

· Knowledge of Artificial Neural Networks (ANNs), Transformers, Natural Language Processing (NLP), image classification, and time-series analysis.

· Experience with data storage, retrieval, and data cleansing techniques.

· Experience delivering complex enterprise AI projects.


Education
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (required).

Advanced degree is preferred.