Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Forward Deployed AI Engineer designs, builds, and deploys agentic AI workflows across Garvan, collaborating with researchers and professional-services staff to identify opportunities and integrate solutions into practice. This role spans the full delivery cycle, from discovery and scoping to building, deploying, and supporting adoption, translating Garvan's AI strategy into governed, production-grade solutions.

Responsibilities

Design, build, and deploy agentic AI workflows on Garvan's enterprise platforms, owning technical implementation from pilot to production, evaluation and maintenance.
Collaborate directly with researchers and professional-services staff to understand real needs and constraints.
Contribute to identification, scoping and prioritisation of high-value AI use cases.
Contribute to process mapping of targeted functions to establish the design basis for automation that improves practice rather than encoding existing inefficiencies.
Stand up and maintain integrations (including Model Context Protocol servers) that connect agents to Garvan systems, in partnership with IT.
Integrate AI into existing bioinformatics, analysis and operational workflows.
Support adoption: onboard users, provide user support, develop and deliver training materials and workshops, share use cases in seminars and user group meetings.
Build workflows within Garvan's AI governance and data-classification standards on enterprise platforms, with appropriate human oversight — partnering with DSP and IT.
Contribute to regular reporting (use cases delivered, evaluation metrics, adoption metrics, staff feedback) and to ongoing horizon-scanning of AI capabilities and tools.
Proactively identify, assess, and report operational, financial, and safety risks associated with the duties of this role.
Adhere to the organisation’s Risk Management Framework, ensure all activities are conducted in accordance with established policies and procedures, and contribute to a culture of continuous improvement by suggesting mitigation strategies for identified hazards or inefficiencies.
Comply with Garvan’s workplace policies (as amended from time to time) and especially Garvan’s Work Health & Safety (WHS) Policy, including working in accordance with the WHS management system at all times.

Requirements

Degree in computer science, software engineering, data science, computational biology or a related field.
Strong software engineering and scripting skills (notably Python), with familiarity with APIs, version control, and cloud environments.
Demonstrated experience designing, building and deploying LLM-based and agentic workflows — including prompt engineering, tool/function calling, retrieval-augmented approaches, agent frameworks, and integration patterns such as Model Context Protocol.
Ability to work directly with non-technical users to translate needs into deployed solutions; excellent communication, facilitation and stakeholder-engagement skills.
Experience delivering training and enablement providing hands-on user support.
Sound understanding of AI governance, data privacy and security (including risks, such as prompt injection and data-exfiltration), and human-in-the-loop design.
Ability to concurrently manage multiple projects of diverse scope with changing requirements; strong attention to detail.
Experience in a biomedical or research environment (Desirable).
Familiarity with bioinformatics/analysis pipelines (Desirable).
Process mapping and workflow automation (Desirable).
Experience with enterprise AI platforms (Gemini Enterprise, Claude) (Desirable).
Experience with HPC and cloud computing (Desirable).
Full working rights in Australia.

Skills

Python
APIs
Version control
Cloud environments
Prompt engineering
Tool/function calling
Retrieval-augmented approaches
Agent frameworks
Model Context Protocol
Communication
Facilitation
Stakeholder engagement
Training delivery
User support
AI governance
Data privacy
Data security
Human-in-the-loop design
Project management
Attention to detail
Biomedical research environment
Bioinformatics/analysis pipelines
Process mapping
Workflow automation
Gemini Enterprise
Claude
HPC
Cloud computing

Location

Sydney

Work Type

Full-time
Fixed-term

Experience Level

Dependent on experience

Education Level

Degree in computer science, software engineering, data science, computational biology or a related field.

Benefits

Generous salary packaging (max. $15,900 general expenses + $2,650 meals/accom)
Ample opportunities for on-going training and development
Stimulating, diverse and highly international research environment
Flexible work arrangements (e.g. start / finish times)
A range of additional leave types (cultural leave, conference leave, community service and study leave)
Discounted Health Insurance
Lifestyle discounts with community partners

About the Company

Garvan Institute of Medical Research is an independent Medical Research Institute (MRI) in Sydney, delivering scientific and clinical impact on a global basis and in partnership with organisations that share our vision.
We are proud to be one of Australia’s largest and most highly regarded MRI’s.
Our vision is global leadership in discoveries to impact and our enduring purpose is to impact human health, by harnessing information encoded in our genome.
We seek to see our world-class discovery research achieve life-changing impacts, not only for individual patients with rare diseases, but for the many thousands affected by complex, common disease.
The Garvan Institute of Medical Research brings together world leading researchers and clinicians, collaborating locally and globally, to improve human health.
Our mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease.
From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we are pioneering discoveries across diseases that have the deepest impact on our community.
Through our key scientific strengths in data, genomics, cellular, translation and clinical science, we aim to catalyse research from fundamental discovery to transformational impact.
Enabled by cutting-edge technology and world-class facilities, and the support of our passionate Garvan family; our researchers and professional staff strive, every day, to create a future where everyone lives longer, healthier lives.

Equal Opportunity

Garvan promotes a diverse workplace and is committed to the principles of equity, diversity, inclusion and belonging.
We are always looking for culture ‘add’, not culture ‘fit’ and are building diverse teams with great sets of complementary styles and skills to help deliver our important work effectively.