- Lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.
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Design, develop, and implement AI products, including applications leveraging Agentic AI frameworks for practical business use cases.
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Build and maintain agents and applications powered by AI, taking solutions from proof-of-concept to production.
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Design, develop, and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.
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Improve development and workflows through automation, reusable components, tooling, and standardised technical engineering practices.
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Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.
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Collaborate with technology teams on cloud-based agent and application architecture, design, and implementation.
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Analyse business requirements and recommend technology solutions using Agile delivery methodologies.
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Support the end-to-end product lifecycle, including roadmap planning, development, testing, deployment, and continuous enhancement.
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Define non-functional requirements and assess database solutions in compliance with relevant regulations.
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Work closely with cross-functional stakeholders to ensure successful delivery of products and solutions and identify opportunities to apply AI and automation in the business.
Requirements
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Relevant experience in Agentic AI engineering, web application development, data science, or related disciplines.
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Knowledge of AI techniques, including hands-on experience developing and implementing skills, harnesses, MCPs, Agentic AI frameworks in practical applications.
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Familiarity with AI tools, frameworks, and open-source libraries relevant to the field.
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Knowledge of database design, implementation, and management.
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Familiarity with Agile delivery methodologies and cloud computing platforms and services.
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Strong analytical and problem-solving skills, with the ability to translate complex business problems into effective technology solutions.
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Excellent communication and stakeholder management skills, with the ability to collaborate effectively across multidisciplinary teams and explain technical concepts to diverse audiences.
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Experience with commercial AI, workflow, data and data science platforms such as n8n, Northflank, Copilot in Power Automate, Dataiku, Databricks, Snowflake, etc.; or Whole-of-Government AI tools, such as GovTech Desk, OPUS, Airbase/Airlift, etc would be advantageous.
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Familiarity with containerization and orchestration, as well as automated build, test and deployment pipelines.
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Demonstrated commitment to continuous learning and keeping current with the latest developments in AI, data science, and software engineering.