Job Description
We are seeking a visionary Lead AI Architect to spearhead our development of next-generation artificial intelligence systems slated for the 2026 release cycle. At Nexus Horizon Labs, we don't just predict the future; we engineer it. You will be at the forefront of defining the architecture that will power our flagship products, integrating cutting-edge neural networks with scalable cloud infrastructure. If you are passionate about the intersection of deep learning, ethics, and massive scalability, this is your opportunity to leave a lasting legacy.
Why Join Us?
- Work on projects that define the trajectory of technology for the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first policy with state-of-the-art office amenities.
Responsibilities
- Architectural Vision: Define and document the high-level system architecture for our 2026 AI roadmap, ensuring alignment with long-term business goals.
- Model Development: Lead the design and implementation of advanced machine learning models, focusing on generative AI and predictive analytics.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Performance Optimization: Oversee the optimization of model latency and throughput to ensure real-time processing capabilities.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive stakeholders and product managers.
- Security & Compliance: Implement robust security protocols and ensure all AI systems adhere to emerging privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering and 5+ years in AI/ML architecture leadership.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/Azure/GCP).
- Strategic Thinking: Proven track record of managing large-scale technical projects from conception to deployment.
- Soft Skills: Exceptional communication skills with the ability to bridge the gap between technical teams and business units.