Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. We are building the infrastructure for the future, and we need a strategic leader who can translate complex AI concepts into scalable, production-ready solutions.
In this pivotal role, you won't just be maintaining systems; you will be architecting the roadmap for our 2026 strategic goals. You will drive the adoption of Generative AI, Large Language Models (LLMs), and autonomous agents, ensuring our platform remains at the cutting edge of innovation.
Why join us?
- Work with state-of-the-art tech stack (PyTorch, TensorFlow, Ray).
- Competitive compensation package and equity.
- Flexible remote-first culture with a San Francisco hub.
- Focus on meaningful, high-impact projects that define the future.
Responsibilities
- Lead the 2026 AI Roadmap: Define and execute the technical vision for our AI infrastructure, focusing on scalability, latency reduction, and model efficiency for the coming years.
- Architect Scalable Solutions: Design and implement robust distributed systems capable of handling billions of data points and high-concurrency AI workloads.
- Model Optimization & Deployment: Oversee the transition of experimental models into production environments using MLOps best practices (CI/CD, automated retraining pipelines).
- Technical Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate business requirements into technical blueprints.
- R&D Innovation: Stay ahead of the curve regarding emerging AI trends (e.g., Multimodal AI, Edge AI) and integrate them into our core architecture.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent industry experience).
- Experience: 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture and system design.
- Technical Skills: Deep expertise in Python, C++, and major ML frameworks (PyTorch, TensorFlow, JAX). Proven experience designing scalable microservices.
- AI Expertise: Strong understanding of NLP, Computer Vision, or Reinforcement Learning architectures.
- MLOps: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Leadership: Demonstrated ability to lead high-performance teams and drive technical strategy.