Job Description
Are you ready to define the future of intelligence?
Nexus Core Technologies is on the cutting edge of technological evolution. As we look toward 2026, we are seeking a Chief AI Architect to lead our strategic vision for Artificial General Intelligence (AGI) integration. You won't just be managing code; you will be architecting the ethical, scalable, and transformative systems that will define the next decade of human-machine collaboration.
Join a world-class team where your expertise in neural networks, deep learning, and system architecture will drive innovation at scale. We offer a competitive compensation package, equity opportunities, and a culture that prioritizes autonomy and impact.
Responsibilities
- Strategic Leadership: Define and execute the long-term AI roadmap for Nexus Core, ensuring alignment with the 2026 vision of seamless AI integration.
- System Architecture: Design and oversee the development of scalable, high-performance neural network architectures capable of processing complex, real-time data streams.
- Research & Development: Stay at the forefront of AI advancements, evaluating emerging technologies like Transformer models and generative adversarial networks to drive product innovation.
- Team Mentorship: Lead, mentor, and inspire a diverse team of data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Stakeholder Collaboration: Work closely with C-suite executives and product teams to translate complex technical concepts into actionable business strategies.
- Ethical AI Governance: Establish frameworks for responsible AI usage, ensuring transparency, fairness, and bias mitigation in all deployed systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 10+ years of progressive experience in software engineering, with at least 5 years in a senior leadership or architect role focused on AI/ML.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Domain Knowledge: Proven track record of deploying large-scale AI models in production environments.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical strategies to non-technical stakeholders.
- Passion: A deep passion for the future of technology and a commitment to solving humanity's toughest challenges through intelligent systems.