Job Description
Are you ready to architect the next generation of intelligence? FutureScale Technologies is seeking a visionary Senior AI Architect to define our technical roadmap through 2026. We are not just building for today; we are engineering the solutions of tomorrow.
In this pivotal role, you will bridge the gap between cutting-edge research and scalable production systems. You will lead a team of elite engineers in building the foundational models that will power our products for the next decade. If you are passionate about the future of Artificial General Intelligence (AGI) and have a track record of shipping transformative tech, we want to hear from you.
Why join us?
- Shape the future of technology with a mission-driven organization.
- Competitive compensation package with equity options.
- Top-tier benefits including healthcare, 401(k), and continuous learning stipends.
- Work in a state-of-the-art facility in the heart of San Francisco.
Responsibilities
- Define and execute the comprehensive 2026 AI Roadmap, aligning technical milestones with business objectives.
- Architect scalable, fault-tolerant machine learning infrastructure capable of handling exabyte-scale data.
- Lead a cross-functional team of data scientists and engineers in research, development, and deployment.
- Drive innovation in Natural Language Processing (NLP) and Computer Vision to stay ahead of industry competitors.
- Mentor junior engineers and foster a culture of technical excellence and creativity.
- Collaborate with product leaders to translate complex AI concepts into user-friendly features.
- Evaluate and integrate emerging technologies to ensure our stack remains future-proof.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent experience).
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of designing large-scale distributed systems and MLOps pipelines.
- Strong understanding of deep learning algorithms, neural networks, and statistical modeling.
- Exceptional leadership skills with the ability to inspire and guide diverse technical teams.
- Excellent communication skills, capable of explaining complex technical strategies to non-technical stakeholders.