Job Description
We are looking for a visionary Lead AI Architect to spearhead our research and development initiatives for the year 2026. In this role, you will not just build AI models; you will architect the infrastructures that define the next generation of human-machine interaction. Join a team that is obsessed with pushing the boundaries of what is possible, specifically focusing on scalable generative AI and autonomous systems.
Why Nexus Future Systems?
- Work on cutting-edge projects that define the future landscape of technology.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to the latest hardware and cloud infrastructure.
Key Objectives:
Our goal for 2026 is to integrate AI seamlessly into everyday operations. As a Lead Architect, you will bridge the gap between theoretical research and production-grade deployment, ensuring our solutions are robust, ethical, and scalable.
Responsibilities
- Design and implement high-level architectural frameworks for AI and machine learning systems.
- Lead a team of data scientists and engineers in research and development of next-gen algorithms.
- Ensure system scalability, security, and performance across distributed environments.
- Collaborate with product managers to translate business requirements into technical roadmaps.
- Mentor junior staff and conduct code reviews to maintain high engineering standards.
- Stay ahead of industry trends to integrate emerging technologies (e.g., LLMs, Edge AI) into our stack.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or equivalent frameworks.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.