Job Description
Are you ready to architect the future of Artificial Intelligence? Neural Horizon Systems is seeking a visionary Lead AI Engineer to spearhead the 2026 Roadmap Initiative. As we push the boundaries of generative models and predictive analytics, you will be at the forefront of defining the next generation of intelligent systems. Join a world-class team dedicated to solving humanity's most complex challenges through advanced technology.
Why Join Us?
- Impactful Work: Directly influence the trajectory of AI development for the 2026 era.
- Top-Tier Team: Collaborate with PhDs and industry veterans from leading tech giants.
- Future-Proofing: Work on cutting-edge architectures that will define the next decade of computing.
We are looking for a technical leader who doesn't just write code, but engineers solutions that scale and innovate.
Responsibilities
- Define and execute the technical strategy for the 2026 AI product roadmap, ensuring alignment with business objectives.
- Design and implement scalable deep learning architectures, focusing on Large Language Models (LLMs) and multimodal systems.
- Lead a high-performing team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional stakeholders to translate complex business requirements into robust technical solutions.
- Mentor junior staff and conduct technical reviews to ensure code quality and architectural integrity.
- Research and integrate emerging technologies to maintain a competitive edge in the rapidly evolving AI landscape.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in software engineering, with at least 5 years in machine learning and AI.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Proven track record of shipping production-grade AI models and systems.
- Strong understanding of neural network optimization, GPU acceleration, and cloud infrastructure (AWS/GCP).
- Exceptional leadership skills with the ability to guide teams through ambiguity and drive technical decisions.