Senior AI Product & Solution Lead

Senior AI Product & Solution Lead

Level: Senior

Employment Type: Flexible (0.2–1.0 FTE), including full-time and part-time appointments.

About the Role

We are seeking an experienced Senior AI Product & Solution Lead to drive our AI product strategy, technical roadmap, and enterprise AI solutions. You will bridge cutting-edge AI research with real-world business applications, leading the development and deployment of next-generation AI products powered by large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and intelligent data systems.

Key Responsibilities

• Define AI product vision, roadmap, and technical strategy.
• Design scalable enterprise AI solutions based on LLMs, RAG, AI agents, and knowledge systems.
• Lead technical architecture and major engineering decisions.
• Work closely with enterprise customers to understand business requirements and design AI solutions.
• Lead proof-of-concept (PoC) projects and technical consulting.
• Mentor engineers and researchers.
• Evaluate emerging AI technologies and research directions.
• Collaborate with founders to shape the company’s long-term AI strategy.

Qualifications

Required

• Master’s degree or above in Computer Science, Artificial Intelligence, Machine Learning, Data Systems, or a related field.
• 5+ years of research and/or engineering experience.
• Strong experience with LLMs, RAG, AI agents, and enterprise AI applications.
• Excellent technical leadership and communication skills.

Preferred

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Systems, or a related field.
• Publications in leading AI, Data Mining, Database, NLP, or Systems conferences and journals.
• Startup or enterprise AI experience.
• Experience deploying production AI systems on cloud platforms.

Why Join Us

• Work on cutting-edge AI technologies including LLMs, RAG, AI Agents, and Intelligent Data Systems.
• Collaborate with researchers, engineers, and industry partners on impactful real-world AI applications.
• Flexible working arrangements (0.2–1.0 FTE), including full-time and part-time opportunities.
• Opportunities for research collaboration, publications, and open-source contributions.
• A collaborative, research-driven culture with significant ownership and growth opportunities.
• Competitive salary, equity opportunities (where applicable), and professional development support.

Benefits:

• Employee discount
• Maternity leave
• Parental leave
• Travel reimbursement

Work Location: Hybrid remote in Sydney NSW 2000