Human-Robot Interaction Engineer (Ai & Hci)

Hyphen Connect; Victoria; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible working arrangements

Hybrid working model

Supportive not-for-profit culture

Job summary

AFCA is seeking an AI & Modern Engineering Architect to design, build and operationalise AI and ML solutions that solve real business problems and provide measurable outcomes.

Reporting to the Technical Data Manager, you will bridge analytical concepts with production implementation, ensuring scalable, secure, and governance-aligned solutions. The role is initially a 12-month contract.

Qualifications

• Experience designing, building and delivering AI, machine learning or advanced analytics solutions in production environments.
• Strong knowledge of statistics, ML techniques, model evaluation and experimental design.
• Exposure to data governance, security, privacy and responsible AI principles.

Responsibilities

• Design, build and deploy end-to-end AI and ML solutions.
• Translate business problems into analytical approaches and technical solutions.
• Collaborate with data engineers and stakeholders to deploy models into enterprise systems.

Skills

AI/ML concepts

Stakeholder engagement

Communication

Responsible AI principles

Education

Bachelor's/Master's in CS/Data Science/AI

Tools

Python

SQL

Azure

Databricks

Job description

What Human Robot Interaction Engineer AI Hci J...

Showing 923 Human Robot Interaction Engineer AI Hci jobs in Victoria

Sorry to hear that! What didn’t you like about this job?

Wrong location

Too few details / Lack of information

Job appears outdated

Salary information missing or unclear

Other (please specify).

Please specify...

Verification *

Thank you for your feedback

Your input helps us improve our service.

Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first.

Job Description

This is an exciting opportunity for someone who enjoys working at the intersection of data science, machine learning and solution engineering . You'll design, build and deploy AI solutions that solve real business problems, unlock insights from complex data, and contribute to AFCA's growing AI maturity.

Reporting to the Technical Data Manager , you will play a key role in designing, developing and operationalising AI and machine learning solutions across AFCA. Working closely with data engineers, architects, business stakeholders and delivery teams, you'll transform business challenges into practical AI solutions that deliver measurable outcomes.

This role is about more than building models. You'll help bridge the gap between analytical concepts and production implementation, ensuring solutions are scalable, maintainable, secure and aligned with responsible AI principles.

This is initially a 12-month contract position.

What you\'ll be doing:

• Design, build and deploy end-to-end AI and machine learning solutions
• Translate business problems into analytical approaches, model designs and technical solutions
• Explore and analyse structured and unstructured data to identify trends, patterns and insights
• Develop, evaluate and optimise machine learning models for classification, prediction and decision support
• Partner with data and platform engineers to integrate models into enterprise systems and workflows
• Contribute to AI engineering, MLOps, DevOps and CI/CD practices
• Support testing, deployment, monitoring and continuous improvement of AI solutions
• Embed responsible AI principles including fairness, transparency, privacy and explainability
• Document models, analytical methods and solution designs to support governance and sustainability
• Communicate complex analytical findings to both technical and non-technical audiences

Qualifications

We\'re looking for someone who combines strong technical capability with excellent stakeholder engagement skills.

You\'ll have:

• Experience designing, building and delivering AI, machine learning or advanced analytics solutions in production environments
• Strong knowledge of statistics, machine learning techniques, model evaluation and experimental design
• Experience working with both structured and unstructured datasets
• Strong programming skills in Python and SQL, with experience using version control and modern engineering practices
• Experience with cloud-based data and AI platforms, ideally Microsoft Azure, Microsoft Fabric and Databricks
• Exposure to model deployment, monitoring, CI/CD pipelines and MLOps practices
• Knowledge of data governance, security, privacy and responsible AI principles
• The ability to translate business needs into practical technical solutions
• Strong communication, collaboration and stakeholder management skills

Nice to have:

• Experience with Generative AI, Natural Language Processing (NLP) or optimisation techniques
• Experience integrating AI solutions with enterprise applications, APIs and workflow platforms
• Knowledge of model observability, model risk management and AI governance practices
• Relevant qualifications in Data Science, Statistics, Computer Science, Engineering or similar disciplines
• Experience working within a complex, regulated or transformation-focused environment

Additional Information

• BOSS Best Places to Work 2024 –credited for its culture, engagement and flexible working arrangements.
• Most Inclusive Workplace 2024 – Australian HR Institute (AHRI) Awards.
• Employer of Choice Public Sector and NFP – Australian HR Awards 2023
• Bronze AWEI Accreditation 2024 – Recognised for LGBTQ+ workplace inclusion.
• Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity.
• Hybrid working – Flexible arrangements with state-of-the-art offices designed for collaboration and wellbeing.
• Inclusive leave options – Flexible public holidays, 20 weeks paid parental leave, gender affirmation leave, women’s health leave, and paid time off over Christmas.
• Financial benefits – Not-for-profit salary packaging to boost take-home pay.

To apply

If you’re passionate about fairness and believe your skills align with this role, we encourage you to apply—even if you don’t meet every single criterion.

We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. If you require any accessibility support during the recruitment process, please reach out to our team at (emailprotected) .

AFCA is a 2025 Circle Back Initiative Employer - we are committed to responding to every applicant.

About Cognizant Consulting
Cognizant Consulting is more than Cognizant's consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. Now, we are looking for our next colleague to help shape the future of business. Could it be you?

About the role
As an AI & Modern Engineering Architect, you will make an impact by shaping target-state architecture and translating complex legacy application findings into practical, delivery-ready modernisation solutions. You will be a valued member of the Solution and Domain Architecture team, working collaboratively with client stakeholders, programme governance, cloud, engineering, data, integration, testing and operations teams.

In this role, you will:
+ Develop solution architecture inputs and target designs for complex telecommunications applications, translating business capabilities, rules, interfaces, data, batch behaviour and non-functional requirements into clear modernisation decisions.