Job Description
Are you ready to shape the trajectory of artificial intelligence? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our next-generation intelligent systems division. We are not just building software; we are architecting the future of human-computer interaction for the year 2026 and beyond.
As a Senior AI Architect, you will be at the forefront of innovation, designing scalable neural networks and deploying cutting-edge machine learning models that redefine industry standards. If you thrive in a high-performance environment and want to solve the world's most complex challenges with code, we want to hear from you.
Why Join Us?
- Work with state-of-the-art technology stack including Python, PyTorch, and cloud-native infrastructure.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium San Francisco office access.
- Opportunity to mentor the next generation of AI engineers.
Responsibilities
- Design and deploy scalable, high-performance AI/ML infrastructure and model architectures.
- Lead the research and development of proprietary Generative AI and Large Language Model (LLM) applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Oversee the end-to-end MLOps lifecycle, including model training, validation, deployment, and monitoring.
- Establish best practices for code quality, documentation, and ethical AI usage.
- Conduct technical research to identify emerging trends in AI, NLP, and computer vision.
- Present complex technical concepts to executive stakeholders and non-technical audiences.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, Mathematics, or a related technical field.
- Minimum of 5-7 years of professional experience in software engineering, with a focus on AI/ML.
- Deep proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of statistical modeling, deep learning algorithms, and natural language processing.
- Proven track record of delivering production-grade AI systems.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.