Head of AI & Machine Learning

As the Head of AI & Machine Learning, you will lead the development of transformative AI systems, leveraging generative AI and multi-agent architectures to deliver innovative solutions. Your work will focus on creating advanced, custom AI models that process complex, multi-modal data and provide actionable insights. Internally, you will enhance operational efficiency through AI-driven systems. Externally, you will redefine user experiences by delivering personalized, transparent, and accessible AI solutions.

Responsibilities

• Lead the development and scaling of a multi-agent AI platform to deliver sophisticated, end-to-end solutions.
  

• Enhance integration with foundation models while building custom AI capabilities tailored to specific needs.
  

• Design and expand agent workflows to handle complex tasks and decision-making processes.
  

• Develop specialized neural architectures optimized for domain-specific reasoning and decision-making.
  

• Create purpose-built AI agents with capabilities beyond general-purpose models.
  

• Engineer proprietary orchestration layers to enable seamless collaboration among AI agents.
  

• Build advanced systems to extract insights from diverse data sources, including documents, market signals, and user inputs.
  

• Design novel evaluation frameworks to measure performance, trust, and qualitative outcomes.
  

• Implement intelligence loops to enable continuous knowledge accumulation from user interactions.
  

• Create explainable AI decision pathways to ensure transparency for users and compliance with regulations.
  

• Architect adaptive interfaces that evolve based on user behavior and preferences.
  

• Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
  

• Implement regulatory compliance guardrails to ensure adherence to industry standards.
  

• Collaborate with leadership, engineering, operations, and design teams to integrate AI systems into products.
  

• Stay at the forefront of AI innovation, researching and applying breakthrough techniques.

Requirements

Qualifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  

• 5 years of experience in AI/ML research and development, preferably at leading AI labs or technology companies.
  

• Expertise in large language models (LLMs), multi-agent systems, and AI orchestration.
  

• Experience applying AI in high-stakes domains, such as finance or regulated industries, is highly valued.
  

• Proven ability to design and implement agent-based systems for complex, real-world tasks.
  

• Demonstrated success in building practical AI applications with transparency and explainability.
  

• Proficiency in retrieval-augmented generation for knowledge-intensive applications.
  

• Strong understanding of domain-specific data and decision-making processes.
  

• Background in human-AI interaction design and explainable AI methodologies.
  

• Experience building systems that learn from user feedback and improve over time.
  

• Deep knowledge of privacy-preserving AI techniques for sensitive data.
  

• Ability to translate business needs into robust AI architectures.
  

• Expertise in balancing innovation with regulatory and compliance requirements.
  

• Strong leadership and mentoring skills with experience guiding technical teams.
  

• Excellent communication skills to collaborate with non-technical stakeholders.
  

• Commitment to building accurate, reliable, and trustworthy AI systems.
  

• Published research in AI/ML conferences or proven industry implementations.
  

• Proficiency in Python and relevant ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).