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