Job Description
Join NeuralNext Innovations, a pioneering force in next-generation artificial intelligence, as we architect the infrastructure for the 2026 AI landscape. We are looking for a visionary Senior AI Architect to lead the development of scalable, multimodal generative models that will define the future of human-machine interaction. You will bridge the gap between theoretical breakthroughs and production-ready systems, ensuring our technology remains at the cutting edge of the 2026 roadmap.
Why Join Us?
We are not just building tools for today; we are defining the standards for tomorrow. You will have the autonomy to experiment with state-of-the-art architectures, influence our engineering culture, and work alongside world-class researchers and engineers.
Responsibilities
- Architect and deploy robust, high-scale generative AI models (LLMs, diffusion models) optimized for the 2026 era.
- Design and implement distributed training pipelines capable of handling petabyte-scale data efficiently.
- Lead the research and integration of novel techniques in model compression, quantization, and edge deployment.
- Collaborate with cross-functional teams to translate complex technical requirements into scalable software solutions.
- Ensure system reliability, latency optimization, and cost-efficiency in large-scale inference environments.
- Mentor junior engineers and conduct code reviews to maintain high technical standards across the organization.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML systems architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale models into production environments.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and MLOps practices.
- Experience with ethical AI frameworks and bias mitigation strategies.