Head of AI & Machine Learning
Pivotal Solutions
Salary undisclosed
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Description
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).
About this role
Pivotal Solutions is seeking a Head of AI & Machine Learning to lead the design and deployment of sophisticated multi-agent AI systems in San Francisco. This role combines research-level technical depth with product leadership, requiring you to architect custom AI models that handle complex, multi-modal data while balancing innovation with transparency and regulatory compliance. You'll own the full stack—from building specialized neural architectures and orchestration layers to designing explainable decision pathways and privacy-preserving systems—while collaborating across engineering, operations, and design to embed these capabilities into both internal operations and customer-facing products.
The ideal candidate holds a PhD in Computer Science, Machine Learning, or AI, with 5+ years of hands-on R&D experience at leading AI labs or tech companies. You should have deep expertise in large language models, multi-agent systems, and orchestration, with proven success building practical agent-based systems for high-stakes domains like finance or regulated industries. Beyond technical chops in Python, TensorFlow, PyTorch, and retrieval-augmented generation, you'll need demonstrated strength in explainable AI, human-AI interaction design, and privacy-preserving techniques—plus the leadership ability to mentor teams and translate business requirements into robust architectures.
This is an in-office, full-time position suited for someone who wants to shape how AI systems are built for real-world impact, with particular appeal to researchers or senior practitioners ready to move from labs into a leadership role that spans both innovation and responsible deployment.
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