• Use AI-powered analysis and automation tools to identify and remediate technical debt across institutional codebases. Design and implement AI-enabled refactoring processes to modernize legacy systems and migrate applications to modern architectures. • Develop and maintain comprehensive AI-assisted testing and verification frameworks to ensure performance, reliability, and security in modernized systems. • Design, develop, and maintain APIs and full-stack applications that support enterprise operations and data integration needs. • Integrate AI tools into CI/CD pipelines for proactive quality assurance. Collaborate with campus stakeholders to translate institutional needs into technical solutions that enhance efficiency and scalability.

The University of Maine System is seeking an AI Developer to join the IT Enterprise Services team. The AI Developer plays a key role in advancing the University’s digital modernization and sustainability initiatives. This position leverages artificial intelligence to optimize software architecture, automate code modernization, and enhance the performance, security, and maintainability of enterprise applications. Working across the University’s technology ecosystem, the AI Developer applies AI tools and techniques to refactor legacy systems, reduce technical debt, and ensure the long-term reliability of mission-critical applications that support teaching, research, and public service. Key Responsibilities - AI-Driven Code Modernization: Use AI-powered analysis and automation tools to identify and remediate technical debt across institutional codebases. Design and implement AI-enabled refactoring processes to modernize legacy systems and migrate applications to modern architectures. - Automated Testing and Quality Assurance: Develop and maintain comprehensive AI-assisted testing and verification frameworks to ensure performance, reliability, and security in modernized systems. - Application and API Development: Design, develop, and maintain APIs and full-stack applications that support enterprise operations and data integration needs. - Continuous Improvement and Collaboration: Integrate AI tools into CI/CD pipelines for proactive quality assurance. Collaborate with campus stakeholders to translate institutional needs into technical solutions that enhance efficiency and scalability. Please review the AI Developer job description to learn more. Salary: The salary range for this position is $75,000 to $85,000, commensurate with the candidate's training, education, and experience. Benefits: The University of Maine System offers a highly competitive benefits package that includes (but is not limited to): - 13 paid holidays plus earned vacation and sick time - Health, Dental, and Vision insurance - Short-term disability insurance and employer-paid long-term disability insurance - Employer-paid basic life insurance and supplemental life insurance - Tuition waiver program for employees and their dependents (spouse, domestic partner, and dependent children) - 403(b) retirement plan with 10% employer contribution To learn more, please review the Benefits Information Summary. Work Schedule: Monday through Friday, 8:00 AM to 5:00 PM EST, with flexibility available as mutually agreed upon between the supervisor and employee. Location: This position is fully remote. Applicants must reside and be authorized to work in the United States. Please review the University Guidelines for Remote Work. Knowledge, Skills, and Abilities Required: - Software Architecture & Modernization: Expertise in modern software architecture, microservices, design patterns, and advanced refactoring techniques for complex, large-scale, and often poorly documented systems. - AI Developer Tooling: Deep, demonstrable knowledge with AI-powered developer tools for static/dynamic code analysis, automated transformation, and intelligent testing (e.g., tools similar to CodeScene, SonarQube, Refact ai, Qodo). - Automated Testing & Verification: Advanced proficiency in building and maintaining comprehensive automated testing suites (unit, integration, end-to-end) and verification frameworks to validate complex system behavior and ensure functional parity post-refactoring. - Programming Languages & Frameworks: Strong proficiency in at least one modern back-end language (e.g., Java, Node.js, Python) and a corresponding front-end framework (e.g., React, Vue.js), with a solid understanding of web fundamentals (HTML, CSS3). - Analytical & System Thinking: Exceptional analytical and creative problem-solving skills, with the ability to diagnose deeply embedded architectural problems in opaque legacy codebases and devise innovative, AI-driven solutions. - Interpersonal & Communication Skills: Excellent verbal and written communication skills, with the ability to articulate highly complex technical concepts, risks, and strategies to diverse technical and non-technical audiences. Qualifications Required: - A master’s degree in Computer Science, Software Engineering, Information Technology, or a closely related field. An equivalent combination of relevant professional experience and education will be considered. - A minimum of five (5) years of professional experience in AI software development, demonstrating progressive responsibility in designing and building complex web applications. - A minimum of two (2) years of dedicated, hands-on experience applying AI/ML tools and techniques to software development lifecycle challenges, such as automated code analysis, AI-assisted refactoring, or generative testing. - A portfolio of completed projects or a detailed professional history that clearly demonstrates expertise in analyzing, improving, and modernizing complex legacy systems with practical application of AI technologies. Preferred: - Professional work experience in a higher education, education technology (EdTech), or research-intensive environment. - Experience with advanced AI techniques or contributing to open-source AI/ML projects. - Familiarity with data privacy and governance regulations relevant to the higher education sector, such as the Family Education Rights and Privacy Act (FERPA). How to Apply: Materials must be submitted via “Apply Now” below. You will need to complete an application and upload the following: - A cover letter that describes your experience, interests, and suitability for the position. - A resume/curriculum vitae. Important items to know about the recruitment process: - Applications will be reviewed on an ongoing basis and will remain open until filled. - Incomplete application materials cannot be considered. - Candidates selected to proceed to the final stages of the search process will be requested to provide contact information for references. - The successful applicant is subject to appropriate background screenings. - Applicants must be authorized to work in and reside in the United States. Please Note: We are not able to consider applicants who require Visa sponsorship or OPT extensions now or in the future. The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling 207.581.1226, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at www.maine.edu/title-ix/. About the University of Maine System The University of Maine System (UMS), established in 1968, consists of seven universities and the University of Maine School of Law, spread across various locations in Maine. UMS provides system-wide services and governance from these locations, leveraging the distinct strengths and collaborations among its institutions to advance strategic priorities for UMS and the state of Maine. Choosing UMS means opting for a high quality of life supported by excellent benefits such as tuition waivers, robust retirement contributions, and comprehensive insurance coverage including medical, dental, vision, life, and disability. Maine's diverse landscapes, from accessible wilderness and rugged coastline to urban centers and rural communities, offer numerous cultural activities, strong public schools, safe neighborhoods, and high-quality healthcare. Discover more about Maine's exemplary lifestyle on the Maine Office of Tourism website.

At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you!   Our mission is simple: End Cyber Risk. We’re looking for a Senior AI Developer to be part of making that happen.     About the role The Senior AI Developer will design, build, and deploy agentic workflows and machine learning / Generative AI models within Arctic Wolf Labs. This role focuses on developing scalable systems that collate security operations process data, train and fine-tune AI models, and measure quality of output to support threat detection, investigation, and response. You will implement solutions that integrate operations process data with knowledge graphs and agentic workflows, enabling structured reasoning and automation in security operations. You will collaborate with security operations analysts, data scientists, platform engineers, and threat researchers to deliver production-grade solutions that enhance Arctic Wolf's mission to end cyber risk. As a Senior AI Developer at Arctic Wolf, you will: - Design and implement agentic workflows and fine-tuned models for the automation of security operations processes. - Build and maintain ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models. - Develop systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches. - Work with security operations and other teams to measure, monitor, and evaluate AI quality and iteratively improve. - Apply comprehensive knowledge of ML/AI principles and practices to resolve a wide range of technical challenges in creative ways. - Work independently on problems of diverse scope, devising solutions based on analysis of information and adapting existing approaches to resolve issues. - Mentor more junior team members on ML/AI best practices and development patterns. - Stay current with emerging trends in machine learning, knowledge graphs, and agentic AI. We’re looking for someone with: - 5+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications. - Demonstrated expertise in production delivery of Generative AI or machine learning systems. - Experience with agentic frameworks (e.g., AgentCore, Amazon Bedrock, LangChain) and LLM integration. - Experience training and tuning AI models, including quality measurement and evaluation (e.g., LLM-as-judge). - Familiarity with knowledge graph technologies (e.g., Neptune, Neo4j, RDF/SPARQL, GraphQL). - Familiarity with cloud-native data services (AWS preferred) and data engineering tools (Spark, Flink, Kafka, Databricks). - Experience with infrastructure-as-code, CI/CD, and DevSecOps principles. - Exposure to cybersecurity concepts: threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. - Passion for building intelligent systems that solve real-world security challenges. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values  Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.  We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.   We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.  All wolves receive compelling compensation and benefits packages, including:  - Equity for all employees - Flexible time off and paid volunteer days - RRSP and 401k match - Training and career development programs - Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services - Robust Employee Assistance Program (EAP) with mental health services - Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.  Security Requirements  - Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).  - Background checks are required for this position.   - This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).  Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.  The base salary range for this job family is 160,000 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.

At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you!   Our mission is simple: End Cyber Risk. We’re looking for a Staff AI Developer to be part of making that happen.     About the role The Staff AI Developer will lead the design and development of agentic workflows and machine learning / Generative AI models within Arctic Wolf Labs. This role focuses on providing technical direction for the team in building scalable systems that collate security operations process data, train and fine-tune AI models, and measure quality of output across a global security operations team. You will architect and implement solutions that integrate operations process data with knowledge graphs and agentic workflows, enabling structured reasoning and automation in security operations. You will collaborate with security operations analysts, data scientists, platform engineers, and threat researchers to deliver production-grade solutions that enhance Arctic Wolf's mission to end cyber risk. As a Staff AI Developer at Arctic Wolf, you will: - Lead the design and implementation of agentic workflows and fine-tuned models for the automation of security operations processes. - Provide technical direction and guidance to a team of ML engineers and developers through the design, implementation, and testing of AI/ML systems. - Architect ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models. - Design systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches. - Work with security operations and other teams to measure, monitor, and evaluate AI quality and iteratively improve. - Determine methods and procedures on new assignments, exercising judgment in selecting approaches and evaluation criteria for obtaining results. - Develop trusted cross-team relationships to deliver solutions that span multiple areas of expertise. - Mentor engineers and emerging technical leaders on the team, fostering a culture of innovation and excellence. - Stay current with emerging trends in machine learning, knowledge graphs, and agentic AI. We’re looking for someone with: - 7+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications. - 2+ years of experience providing technical direction to a team or leading technical projects. - Strong expertise in production delivery of Generative AI or machine learning systems. - Experience with agentic frameworks (e.g., AgentCore, Amazon Bedrock, LangChain) and LLM integration. - Experience training and tuning AI models, including quality measurement and evaluation (e.g., LLM-as-judge). - Hands-on experience with knowledge graph technologies (e.g., Neptune, Neo4j, RDF/SPARQL, GraphQL). - Familiarity with cloud-native data services (AWS preferred) and data engineering tools (Spark, Flink, Kafka, Databricks). - Experience with infrastructure-as-code, CI/CD, and DevSecOps principles. - Exposure to cybersecurity concepts: threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. - Passion for building intelligent systems that solve real-world security challenges. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values  Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.  We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.   We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.  All wolves receive compelling compensation and benefits packages, including:  - Equity for all employees - Flexible time off and paid volunteer days - RRSP and 401k match - Training and career development programs - Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services - Robust Employee Assistance Program (EAP) with mental health services - Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.  Security Requirements  - Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).  - Background checks are required for this position.   - This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).  Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.  The base salary range for this job family is 160,000 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.