Job Description
Be the Architect of the Future.
Are you ready to define the technological landscape of 2026? OmniFuture Dynamics is seeking a visionary Senior AI Architect to lead our research into Generative AI, Neuromorphic Computing, and Autonomous Systems.
We are not just building the next version of software; we are engineering the infrastructure for a sentient digital future. In this role, you will bridge the gap between theoretical AI breakthroughs and scalable production systems.
Why join us?
- Work on projects that define the 2026 technology roadmap.
- Competitive compensation package including equity.
- Access to cutting-edge hardware and research labs.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable Deep Learning architectures capable of handling exabyte-scale data streams for 2026 requirements.
- Neuromorphic Research: Spearhead research into spiking neural networks to improve energy efficiency in AI inference.
- System Integration: Integrate Large Language Models (LLMs) with legacy infrastructure, ensuring seamless interoperability.
- Ethical AI Oversight: Establish governance frameworks and safety protocols for autonomous decision-making systems.
- Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Prototyping: Rapidly prototype and validate AI solutions using simulation environments before full deployment.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in machine learning, with at least 3 years in a senior architectural role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Specialization: Deep experience with Transformers, Diffusion Models, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with novel algorithmic approaches.
- Communication: Exceptional ability to translate complex technical concepts for stakeholders and non-technical audiences.