Job Description
Nexus Future Systems is at the forefront of artificial intelligence innovation. We are seeking a visionary Senior AI Architect to join our elite engineering team in San Francisco. In this pivotal role, you will design and deploy scalable machine learning systems that redefine enterprise intelligence and drive our roadmap for 2026.
As a Senior AI Architect, you will bridge the gap between theoretical research and production-grade infrastructure. You will lead the technical strategy for our core models, ensuring they are robust, efficient, and scalable in a high-velocity environment.
Responsibilities
- System Architecture: Design and implement scalable, fault-tolerant AI/ML pipelines and infrastructure using cloud-native technologies.
- Model Optimization: Lead initiatives to optimize model inference latency and reduce operational costs through advanced quantization and pruning techniques.
- Research & Development: Stay abreast of the latest advancements in Generative AI, LLMs, and Multi-modal models to integrate cutting-edge capabilities into our product suite.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning within the team.
- Collaboration: Partner with product managers and engineering leads to define technical requirements and ensure alignment with business goals.
- Best Practices: Establish and enforce coding standards, CI/CD practices, and security protocols for all machine learning systems.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a senior or lead architect role.
- Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow; strong understanding of distributed systems and cloud platforms (AWS/GCP/Azure).
- Model Engineering: Proven track record of deploying large-scale models into production environments with high availability.
- Problem Solving: Demonstrated ability to tackle complex technical challenges and drive innovative solutions from conception to deployment.
- Communication: Excellent verbal and written communication skills, capable of translating technical concepts for diverse audiences.