Senior AI Engineer, Data Science

About Future Secure AI

Future Secure AI is pioneering advancements at the forefront of artificial intelligence, solving complex, real-world challenges for global enterprises across diverse industries. The company cultivates a culture that highly values bravery, rigor, and relentless curiosity. Future Secure AI boasts an entrepreneurial and accessible leadership team committed to employee growth and open communication, ensuring every member is valued beyond just a number. As a strategic partner of one of the world’s largest financial institutions, the company has broad enterprise engagements and aims for global expansion focused on transforming industries through state-of-the-art AI technology.

Role Overview

As a Senior Data Scientist, you will serve as a technical leader responsible for spearheading the creation of autonomous AI co-worker systems, multi-step reasoning solutions, and enterprise-ready intelligent workflows. This role involves designing, engineering, and deploying large language model (LLM)-driven agentic platforms that enable planning, decision-making, and action execution at scale while maintaining safety and reliability. You will also guide technical architecture, mentor junior colleagues, and ensure robustness and alignment of AI systems that drive seamless human-AI collaboration in complex enterprise contexts.

Key Responsibilities

• Architect, develop, and deploy LLM-based agentic systems featuring planning, tool usage, workflow orchestration, and reasoning abilities.
• Utilize machine learning and advanced analytics to empower autonomous AI co-worker decision-making processes.
• Improve multi-step reasoning performance, context management, and agent effectiveness across real-world enterprise implementations.
• Lead machine learning operations (MLOps) efforts emphasizing evaluation, benchmarking, safety, and quality assurance for autonomous intelligence systems.
• Shape long-term strategies related to agentic AI frameworks, governance policies, and scalable deployment methodologies.
• Collaborate cross-functionally with engineering, product, and leadership teams to deliver production-grade AI co-worker solutions for a global client base.
• Provide mentorship and guidance to junior data scientists, elevating the team's scientific and engineering standards.

Candidate Profile

• Possess a Master’s or PhD in a quantitative field.
• Experience as a software developer or demonstrated willingness to learn TypeScript is highly desirable.
• Proven track record of successful machine learning deployments in complex operational environments.
• Solid understanding of natural language processing techniques including transformers, LSTMs, CNNs, topic modeling, and supervised NLP methods.
• Hands-on experience with LLM orchestration frameworks such as LangChain or LlamaIndex, retrieval-augmented generation (RAG), multi-agent architectures, or tool-calling frameworks.
• Proficiency in Python focused on AI/ML development, with familiarity in additional programming languages.
• Strong communication skills with the ability to clearly articulate complex concepts and influence diverse stakeholders.
• Exhibit traits of curiosity, humility, ownership, and adaptability in dynamic, fast-paced environments.
• Willingness to work onsite at the Sydney CBD office 1–2 days per week.

Why Join Future Secure AI?

• Engage in a high-performance, innovation-driven culture.
• Work with cutting-edge AI technologies and world-class leadership.
• Experience significant impact and purpose on a global scale.
• Benefit from a competitive salary and substantial growth opportunities.
• Collaborate with top industry experts.
• Enjoy a flexible work atmosphere that fosters diversity and creativity.

Additional Information

The company's recruitment process is managed internally, and they do not entertain contact from recruitment agencies. Future Secure AI is committed to privacy regulations including GDPR and Australian Privacy Principles, ensuring candidates' data protection when engaging with the company.