Job Description
Are you ready to shape the future of technology? FutureScale Inc. is looking for a visionary Senior AI Architect (2026 Vision) to lead our next-generation artificial intelligence initiatives. As we push the boundaries of what is possible in 2026, we need a technical leader who can design scalable, ethical, and robust AI systems that redefine enterprise efficiency.
In this role, you will bridge the gap between cutting-edge research and production-grade software engineering. You will be responsible for architecting the infrastructure that powers our generative AI products, ensuring they are not only performant but also secure and compliant with evolving regulations.
Why join us? We offer a competitive salary, equity packages, and the opportunity to work on projects that will define the AI landscape of the next decade.
Responsibilities
- Architect and deploy scalable Large Language Models (LLMs) and generative AI pipelines for enterprise applications.
- Optimize model inference pipelines to achieve low latency and high throughput in production environments.
- Lead technical strategy for AI ethics, safety, and bias mitigation across all projects.
- Collaborate with cross-functional product and engineering teams to define AI roadmaps and feature requirements.
- Conduct research on novel transformer architectures and multimodal learning techniques.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on Machine Learning.
- 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
- Expert proficiency in Python and major frameworks such as PyTorch, TensorFlow, or JAX.
- Proven experience fine-tuning open-source models (e.g., Llama 3, Mistral) or training models from scratch.
- Strong understanding of distributed systems, cloud infrastructure (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).