Lead AI Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Engineer based in Australia.

This role sits at the forefront of generative AI innovation, leading the design, development, and delivery of advanced AI-powered systems that operate at production scale. The position combines hands-on technical depth with strategic leadership, guiding engineering teams in building scalable, reliable, and high-performing GenAI solutions. You will shape the technical direction of AI initiatives while working closely with product managers, designers, and business stakeholders to ensure strong alignment with real-world needs. Acting as both a technical authority and a mentor, you will elevate engineering standards, promote responsible AI practices, and foster a culture of continuous learning and experimentation. The environment is fast-paced, collaborative, and focused on delivering meaningful, production-grade AI systems that create measurable impact. This is a key leadership role for someone passionate about both engineering excellence and shaping the future of AI adoption.

Accountabilities:

• Lead and mentor a cross-functional team of software engineers, data scientists, and AI specialists delivering generative AI solutions
• Define and guide the architecture and design of scalable, reliable, production-ready AI systems
• Drive technical decision-making with a focus on performance, cost efficiency, maintainability, and scalability
• Collaborate with product managers, designers, and stakeholders to translate business needs into AI-driven technical solutions
• Establish and enforce best practices across AI engineering, including testing, monitoring, documentation, guardrails, and responsible AI principles
• Provide architectural leadership while balancing experimentation with safe, iterative delivery cycles
• Review system designs and code to ensure engineering quality, consistency, and robustness across AI solutions
• Define and optimize GenAI applications, including model tuning, performance improvements, and LLM-based system enhancements
• Champion knowledge sharing and uplift team capability through mentoring, tooling, and engineering enablement

Requirements:

• Strong experience in software engineering with advanced proficiency in Python and modern engineering practices (CI/CD, testing, version control, reliability engineering)
• Proven track record of designing and delivering end-to-end AI systems at scale in production environments
• Deep expertise in generative AI, LLMs, and agentic frameworks, including applied use in real-world systems
• Strong experience building and scaling RAG pipelines and integrating vector databases into production architectures
• Hands-on experience deploying AI solutions on cloud platforms using containers and CI/CD pipelines
• Strong understanding of LLMOps, including monitoring, observability, and production model management
• Experience with model fine-tuning, adaptation, and advanced ML/NLP frameworks
• Ability to communicate complex technical concepts clearly to non-technical stakeholders and senior leadership
• Proven leadership experience in mentoring engineers and building high-performing, collaborative teams
• Strong strategic thinking with the ability to anticipate AI trends and influence technical direction
• Ability to navigate complex stakeholder environments and drive alignment between technical and business goals

Benefits:

• Competitive compensation package aligned with senior technical leadership roles
• Flexible and hybrid work arrangements based in Australia
• Opportunity to lead cutting-edge generative AI initiatives at scale
• Strong focus on learning and development with structured career growth support
• Collaborative, inclusive, and innovation-driven engineering culture
• Exposure to advanced AI engineering challenges across multiple domains and industries
• Access to modern tools, cloud platforms, and experimentation-friendly environments
• Emphasis on continuous learning, mentorship, and professional development

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.