Senior Applications Specialist (Generative AI Engineer)

PRIMARY DETAIL

Newly created role to build AI enablement capabilities. 2-year fixed-term. Hybrid working arrangement.

• From $119,056 to $132,475 per annum (HEW Level 8) plus 17% employer's superannuation and annual leave loading.
• Full-time, fixed-term role for 2 years. Based at Wallumattagal campus, North Ryde.
• Newly created role to build AI enablement capabilities. Hybrid working arrangement.

The Role

A newly created AI Enablement team within IT will play a crucial role in integrating AI solutions across various faculties and departments, driving forward the University's strategic objectives. The team will develop, implement and support AI initiatives and projects across the University, encouraging innovation and enhancing academic and operational excellence through the application of artificial intelligence technologies.

The Generative AI Application Engineer will be responsible to develop, test, deploy and maintain Generative AI enabled solutions, ensuring alignment with strategic goals and to ensure services perform to stakeholder expectations of reliability, resilience and efficiency. In addition to the development, the Generative AI Application Engineer role is also responsible for providing technical support and advice to users with Generative AI enabled solutions.  

Reporting to the Senior Manager, IT Project Investments, you will:

• Co-ordinate and execute the design, development, implementation, operation and user training for Generative AI solutions across all domains of the organisation.  
• Develop Proof of Concept Gen-AI solutions in Azure sandbox environment.  
• Setup, run and monitor automated test plans and scenarios. Report test results to internal stakeholders.  
• Deploy approved solutions in production environment. 
• Review and maintain solution performance dashboards. Iterate solution design based on metrics and user feedback. 
• Develop and maintain solution templates for future scaling.  
• Generate consistent User Interface to ensure uniform User experience across the university. 
• Create & maintain comprehensive documentation for AI models, APIs, and deployment processes. 
• Engage with vendors and technology groups to stay abreast of the technology learning curve.     
• Implement data privacy and security measures in compliance with university policies and regulations. 

About You

You are a skilled Generative AI Application Engineer with a strong background in developing, testing, deploying, and maintaining AI-enabled solutions.

Your strong foundation in software development methodologies, version control, and best practices, coupled with your knowledge of regulatory requirements and ethical considerations in AI such as GDPR, CCPA, and HIPAA, make you a technical expert in the field.

You are committed to ongoing professional development and have demonstrated experience working in higher education institutions. Your collaborative approach and problem-solving skills enable you to effectively engage with stakeholders, support project implementation, and drive innovation across the university.
 

About Us

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 60 years ago, we have aspired to be a different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today.

We rank amongst the top employers in the Australian Workplace Employers Index, having recently earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the staff benefits on offer.

To Apply

To be considered for this position, please apply online and attach your resume and a separate cover letter that addresses how you meet the below selection criteria (maximum 2 pages):

• Degree in Computer Science and/or minimum 5 years’ experience in a related field.
• Proficiency in Python, R, JavaScript, and other relevant programming languages and development methodologies, version control (e.g., Git).
• Experience of NLP techniques and libraries for text generation, understanding, and manipulation.
• Knowledge of CI/CD pipelines for automated testing, containerization and orchestration such as Docker and Kubernetes for deploying scalable AI solutions in Azure.
• Experience with creating intuitive interfaces in Microsoft Teams and webapps for end-users to interact with AI-enabled solutions using tools such as node.js, ASP.NET or other relevant runtime environments.
• Experience in incident response, resolution, and post-incident analysis of major incidents by applying best practices, including model versioning, monitoring, and lifecycle management.
• Excellent problem-solving and analytical abilities. Strong communication and collaboration capabilities.

Desirable:

• Relevant Microsoft certifications.
• Demonstrated knowledge of Prompt engineering for programming.

*This position requires a Criminal Record Check.

Role-specific Enquiries: Roz Howard, Director, IT Business Services via roz.howard@mq.edu.au.

General Enquiries: Lizzy Nguyen, HR Consultant via lizzy.nguyen@mq.edu.au

Applications Close: Thursday, 22 August 2024 at 11:59pm (AEST).

*Please note applications will need to be submitted via our online recruitment system. Email applications will not be considered*

If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.

Applications Close:

22/08/2024 11:59 PM

Diversity and Inclusion

Innovation and ingenuity thrive at Macquarie University when diversity, equity and inclusion take centre stage. At the University, we embrace a culture where diversity of background, experience and perspective are fundamental to our success.

We do not discriminate on gender identity, age, culture, disability, sexuality, Indigeneity, family and caring responsibilities or religion. See our journey towards leadership in Equity, Diversity and Inclusion in Higher Education.

Flexible Work
 

At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.