Senior AI Engineer, Data Science

About Future Secure AI

At Future Secure AI, we are pioneering innovative solutions in artificial intelligence, working with leading global enterprises across diverse sectors. We foster a culture grounded in courage, rigor, and insatiable curiosity, embodied by our BRAVER values. Our leadership is entrepreneurial and approachable, supporting your professional growth as a key to our mutual success. We partner deeply with major financial institutions and possess extensive global collaborations in numerous industries, aiming to revolutionize human-AI collaboration for improved organizational performance.

Role Overview

As a Senior Data Scientist, you will serve as a key technical leader in developing agentic AI co-worker technologies, multi-step reasoning frameworks, and scalable autonomous workflows powered by advanced large language models (LLMs). You will craft and deploy sophisticated AI agents that can safely and reliably plan, decide, and execute actions at enterprise scale, shaping the strategic trajectory of our AI platform while mentoring junior talent.

Key Responsibilities

• Design and implement agentic LLM-powered systems with capabilities for planning, tool integration, workflow orchestration, and complex reasoning.
• Leverage machine learning and advanced analytics to enhance decision-making processes in autonomous AI co-workers.
• Improve multi-step reasoning quality, context handling, and agent efficiency across diverse enterprise applications.
• Lead MLOps practices in evaluation, benchmarking, safety, and quality assurance for autonomous AI systems.
• Develop long-term strategies concerning agentic AI frameworks, governance, and scalable deployments.
• Collaborate cross-functionally with engineering, product, and executive teams to deliver production-grade AI co-worker solutions for global clients.
• Mentor junior data scientists, fostering higher standards in scientific research and engineering practice.

Candidate Profile

• Master's or PhD in a quantitative field.
• Experience or strong interest in software development, specifically familiarity with or willingness to learn TypeScript.
• Proven track record in delivering impactful machine learning solutions within complex environments.
• Strong foundation in natural language processing, including transformers, LSTMs, CNNs, topic modeling, and supervised NLP techniques.
• Hands-on experience with LLM orchestration frameworks such as LangChain or LlamaIndex, retrieval-augmented generation (RAG), multi-agent systems, or tool-calling architectures.
• Proficiency in Python focused on machine learning and AI, complemented by knowledge of additional programming languages.
• Ability to clearly articulate complex concepts and influence stakeholders across functions.
• Demonstrated curiosity, humility, strong ownership, and adaptability in fast-changing environments.
• Availability to work onsite at Sydney CBD office one to two days per week.

Why Join Future Secure AI?

• Engagement in a high-performance culture driven by purpose and innovation.
• Access to cutting-edge AI technologies and world-class leadership.
• Opportunity to contribute to impactful projects with global reach.
• Competitive remuneration and significant professional growth potential.
• Collaborative work environment with flexibility and diversity.

Additional Information

Future Secure AI operates with a commitment to privacy and complies with GDPR and Australian privacy laws. We do not accept unsolicited recruitment agency contact; all hiring is managed internally.