Job Description
Are you ready to define the future of technology?
Nexus Future Labs is seeking a visionary Senior AI Architect to join our elite engineering team in San Francisco. As we gear up for the next decade of technological breakthroughs, we need a leader who can architect scalable, intelligent systems that will define the landscape of 2026 and beyond.
In this role, you won't just maintain legacy systems; you will build the infrastructure for the next generation of Artificial Intelligence. You will work on cutting-edge projects involving Large Language Models (LLMs), generative AI, and predictive analytics. If you are passionate about ethical AI, high-performance computing, and solving complex problems, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the roadmap for our flagship 2026 products.
- Autonomy: Enjoy the freedom to experiment with the latest research and methodologies.
- Equity: Competitive compensation package including RSUs and performance bonuses.
- Environment: Work in a state-of-the-art, hybrid-first office in the heart of San Francisco.
We are looking for a self-starter who thrives in a fast-paced, high-growth environment. Join us in shaping the future of intelligent systems.
Responsibilities
- Design and implement scalable AI/ML architectures for large-scale enterprise applications.
- Lead the research and development of novel algorithms to improve model accuracy and efficiency.
- Collaborate with cross-functional teams to integrate AI solutions into existing software ecosystems.
- Optimize data pipelines and model inference for real-time processing and low latency.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ensure compliance with ethical AI guidelines and data privacy regulations (GDPR, CCPA).
- Stay ahead of industry trends to recommend technology upgrades and strategic pivots.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Minimum of 5+ years of experience in AI/ML engineering, with at least 2 years in a senior or lead capacity.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of deep learning principles and experience with LLMs (e.g., GPT, BERT).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying machine learning models into production environments.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.