Job Description
We are Nexus Future Systems, a pioneer in next-generation artificial intelligence. As we accelerate towards the technological paradigm of 2026, we are seeking a visionary Lead AI Architect to architect the systems that will power the future of autonomous industries.
In this role, you won't just build software; you will define the architectural DNA of our intelligence layer. You will lead a world-class team of data scientists and engineers to push the boundaries of generative AI, predictive modeling, and quantum-ready neural networks. If you are passionate about solving the hardest problems in AI and have a clear vision for the year 2026, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI infrastructure that will define the next decade.
- Competitive compensation package including equity.
- Flexible remote-first culture with hubs in SF and NYC.
Responsibilities
- Design and implement scalable, fault-tolerant AI infrastructure capable of processing exabyte-scale data streams.
- Lead research and development in Generative AI, Large Language Models (LLMs), and multi-modal systems.
- Collaborate with cross-functional teams to translate business requirements into robust technical architectures.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Optimize model inference latency and ensure high availability of AI services.
- Stay ahead of industry trends to integrate emerging technologies (e.g., edge AI, neuromorphic computing) into our stack.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven experience designing and deploying large-scale LLMs and recommendation engines.
- Strong background in distributed systems (Kubernetes, Docker) and cloud platforms (AWS, GCP, Azure).
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.