Job Description
We are building the future. Nexus Horizon Labs is seeking a visionary 2026 Strategic AI Architect to lead our research into autonomous systems and ethical AI frameworks. In this role, you won't just maintain legacy systems; you will architect the infrastructure that defines the technological landscape of the 2026 era.
Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through next-generation artificial intelligence. We offer a competitive benefits package, equity opportunities, and a culture that celebrates innovation and forward-thinking.
Responsibilities
- Define the Vision: Lead the long-term technical roadmap for the 2026 initiative, ensuring alignment with company strategic goals.
- System Architecture: Design and oversee the implementation of scalable, fault-tolerant AI systems capable of handling petabyte-scale data.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and security experts to integrate cutting-edge algorithms into core products.
- Emerging Tech Integration: Evaluate and prototype emerging technologies (e.g., neuromorphic computing, advanced LLMs) to stay ahead of industry standards.
- Code Governance: Establish rigorous best practices for code quality, testing, and deployment pipelines to ensure reliability.
- Talent Development: Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Experience: 10+ years of experience in software architecture, with at least 5 years in a senior leadership role within AI or Machine Learning.
- Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Strategic Mindset: Proven track record of translating complex business requirements into robust technical blueprints.
- Cloud Proficiency: Hands-on experience with major cloud providers (AWS, Azure, or GCP) and serverless architectures.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.