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Ai Risk Analyst Jobs in Biddeford, ME (NOW HIRING)

Cybersecurity Risk Lead

Portland, ME ยท On-site

$113K - $153K/yr

Analyze and recommend security controls throughout system acquisition, development, implementation ... Understanding of securing AI tools, AI integrations, and AI oversight * Experience with third-party ...

Ensure all AI initiatives comply with enterprise governance, risk, and security standards. Required Qualifications * 0-3 years of experience in data analytics, business intelligence, or a related ...

Ensure all AI initiatives comply with enterprise governance, risk, and security standards. Required Qualifications * 0-3 years of experience in data analytics, business intelligence, or a related ...

Senior AI Product Manager (AI Builder)

Portland, ME ยท On-site

$129K - $170K/yr

Analyze failed traces to build error taxonomies (distinguishing between prompt, context, retrieval ... Partner with Risk, Compliance, Security, Legal, and AI Governance from day one to embed decision ...

New

Senior AI Product Manager (AI Builder)

Portland, ME ยท On-site

$129K - $170K/yr

Analyze failed traces to build error taxonomies (distinguishing between prompt, context, retrieval ... Partner with Risk, Compliance, Security, Legal, and AI Governance from day one to embed decision ...

New

Analyst, GIS

Portland, ME ยท On-site

$80K - $90K/yr

At DESRI, our culture is grounded in rigorous analytics and thoughtful risk-taking, with a strong ... Experience with Python, GIS automation, or AI-assisted workflows is a plus. * Preferred ...

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

Trading Portfolio Analyst

Portland, ME ยท On-site

$91 - $104/hr

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

Process Optimization & AI Automation * Audit existing workflows to identify manual steps ... Build meaningful relationships with stakeholders across trading, risk, regulatory affairs, sales ...

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Ai Risk Analyst information

See Biddeford, ME salary details

$16

$42

$68

How much do ai risk analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai risk analyst in Biddeford, ME is $42.39, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $51.59 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

$46.50 - $63/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 5 days ago


Job description

Position Information
Position Type Professional Staff Faculty Track Position Title Senior AI Programmer Analyst Employment Status Full Time Months 12 Campus Portland, ME Description
The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions that advance the university's academic, administrative, and research missions. Reporting to the Director of Data, Intelligence, and Automation or designated ITS leadership, this role serves as a subject matter expert in applied AI and works in close collaboration with ITS teams, academic departments, and institutional stakeholders to deliver responsible, scalable, and impactful AI capabilities. The Senior AI Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data governance requirements, and ethical AI principles
About the University of New England
UNE is Maine's largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state's top provider of health professionals and home to Maine's only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.
Benefits Overview
UNE offers a generous comprehensive benefits package to eligible employees. The package includes varied health and dental plans; a retirement plan that includes up to an 8% match; extensive paid leave including holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits) for additional information regarding UNE's fantastic benefits package.
Responsibilities
AI Development & Implementation
  • Design, build, test, and deploy AI/ML models, pipelines, and applications
  • Develop solutions using large language models (LLMs), generative AI, and retrieval-augmented generation (RAG)
  • Write clean, maintainable code (primarily in Python) following best practices
  • Evaluate and implement AI tools, frameworks, and platforms (e.g., Azure OpenAI, Hugging Face, LangChain)
  • Build and maintain data pipelines to support model training and deployment
Enterprise Integration & Collaboration
  • Integrate AI solutions with enterprise systems (ERP, SIS, CRM, LMS, etc.) using APIs and modern architectures
  • Collaborate with technical teams to ensure solutions are secure, scalable, and high-performing
  • Support data quality efforts and develop monitoring tools to track model performance
AI Governance & Responsible Use
  • Apply responsible AI principles, including fairness, transparency, and data privacy
  • Conduct model evaluations, bias assessments, and risk analyses
  • Ensure compliance with institutional policies and regulations (e.g., FERPA, HIPAA)
  • Contribute to AI governance frameworks and documentation
Technical Leadership & Engagement
  • Serve as a technical resource and mentor for AI-related work
  • Lead knowledge-sharing activities and promote AI literacy across the organization
  • Partner with stakeholders to define use cases and translate technical concepts into clear solutions
  • Participate in projects, working groups, and AI strategy initiatives
  • Other duties as assigned
Qualifications
Bachelor's degree in computer science, information systems, information technology, or a closely related field; or an equivalent combination of education and professional experience.
  • Minimum of three to five years of progressively responsible experience in enterprise systems administration, configuration, development, or support in a complex multi-system environment.
  • Demonstrated experience with at least one major enterprise student information and/or ERP platform (for example, Ellucian Banner, Oracle Student, Workday Student, or equivalent).
  • Experience developing and maintaining system integrations using APIs, ETL tools, middleware platforms, or file-based exchange methods.
  • Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex).
  • Solid understanding of relational database concepts and the ability to write and optimize complex queries for reporting, integration, and troubleshooting purposes.
  • Knowledge of enterprise systems security administration, role-based access control, and data governance principles.
  • Strong analytical and problem-solving skills with the ability to translate functional requirements into effective technical solutions. Excellent written and verbal communication skills with the ability to explain technical concepts and system behavior to non-technical functional partners.
  • Ability to work effectively across organizational boundaries with diverse stakeholders including administrative offices, academic departments, and external vendors.
  • Commitment to data privacy, information security, and institutional policy compliance.
Preferred Qualifications
  • Experience with multiple enterprise platforms spanning student, ERP, SIS, HR, financial, and CRM functions in a higher education setting.
  • Hands-on experience with Salesforce or another enterprise CRM platform, including configuration, custom development, and integration.
  • Familiarity with higher education-specific data standards and reporting requirements (for example, IPEDS, NSC, Common App, state reporting).
  • Experience with identity management and single sign-on integration (for example, LDAP, SAML, Shibboleth, Microsoft Entra ID) as it relates to enterprise system access.
  • Knowledge of cloud-hosted enterprise platform models (SaaS) and experience managing vendor-hosted system environments.
  • Experience supporting or participating in major enterprise system implementations or upgrades.
  • Relevant vendor or platform certifications (for example, Salesforce Administrator, Workday Pro, Ellucian certifications).
  • Experience with agile or iterative delivery methods in an enterprise systems context.
EEO Statement Summary
Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.
Vaccination Statement (PLEASE NOTE)
Employees in clinical settings must meet the State of Maine's immunization requirements for clinical activity.
Additional Note
This position is not eligible for H-1B visa sponsorship.
Anticipated Pay Range $95,000 - $102,000
Posting Detail Information
Posting Number 2022PS0908P Open Date 06/02/2026 Close Date Open Until Filled Yes