Melbourne, Victoria, Australia
Onsite
Full-time, Continuing position
$121,213 - $136,507 + 17% Superannuation and Flexible Working Arrangements
Based at the Melbourne CBD campus, and hybrid ways of working
About You
As our Senior AI Adoption Specialist, you’ll work directly with researchers across the university to understand their challenges and help apply practical AI solutions that genuinely make a difference. This is not about building new models from scratch. It is about choosing the right tools already on the market, such as GPT or Claude, shaping them into fit-for-purpose solutions, and turning ideas into working prototypes that researchers can actually use. You’ll be hands-on, curious, and comfortable moving between conversations, code, and experimentation.
You’ll be the first person researchers turn to when they want to explore AI or need help moving from concept to implementation. From advising on the right approach, to building and refining prototypes, to supporting solutions once they are live, you’ll play a key role in lifting AI capability across a growing and motivated research community. You’ll work closely with a collaborative team and external partners, contributing your technical skills and valuing shared problem-solving and collective success. If you enjoy translating complex technology into clear, ethical, and practical outcomes and want to help shape how AI is used in research, we would love to hear from you.
To be successful in this position, you’ll have:
Demonstrated strong hands-on experience with AI technologies such as natural language processing, machine learning, generative AI, and process automation, with the ability to critically evaluate and apply these to practical research challenges across diverse disciplines.
Demonstrated experience delivering AI-enabled solutions from early-stage prototype through to deployment, including iterative development, testing, and integration within cloud-based environments (e.g., AWS, Microsoft Azure).
Well-developed understanding of cloud service models and strategies to optimise performance, efficiency, and cost-effectiveness.
Proven ability to produce clear technical documentation, user guides, and best-practice resources that support adoption, scalability, and long-term sustainability of solutions.
Highly developed interpersonal and communication skills for engaging with and advising students, staff and industry partners, combined with a strong commitment to teamwork and multidisciplinary collaboration across diverse teams and organisations to support cultural change and drive AI adoption across the university.
Desirable:
Well-developed project planning and management skills, with the ability to deliver outcomes within fixed timeframes and under competing priorities.
Experience contributing to technology-focused deliverables within small, agile project teams.
Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.
About the Portfolio
RMIT’s Research and Innovation Portfolio supports researchers to help shape the world. The Portfolio has an engaged, energetic, talented, and collaborative team focused on enabling excellent research and innovation outcomes, and on empowering staff. With a global presence, community, and industry connections, we support cutting-edge research and careers that make a positive impact on communities.
The Research and Innovation Portfolio supports researchers and graduate researchers with research partnerships, grants and research contracts, funding opportunities, capability development, research training, ethics and integrity, intellectual property, commercialisation, internships, communication, and profile.
Click here to find out more about research and innovation at RMIT University and the Research and Innovation Portfolio
To Apply
Please submit your CV and a covering letter that clearly demonstrates how you meet the essential requirements for this role. Your covering letter should include specific, concrete examples of AI or technical solutions you have personally implemented or delivered, the problem you were solving, the tools or platforms you used, and your level of responsibility from design through to deployment.
Apply by clicking the ‘Apply’ link at the top of this page.
For further information about this position, please see the Position Description hyperlinked below or contact Dr Robert Shen via email robert.shen@rmit.edu.au.
Position Description - Senior AI Adoption Specialist
Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.
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RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.
In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.
At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.
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