Job Description
Shape the Future of Technology in 2026
NexaFuture Systems is pioneering the technological advancements required for the year 2026. We are seeking a visionary Senior AI Architect to lead our R&D division. If you are passionate about building scalable, ethical, and revolutionary AI systems that will define the next era of human-computer interaction, we want to meet you.
Why Join Us?
- Work on cutting-edge Generative AI and Machine Learning models.
- Competitive salary and equity package aligned with 2026 market standards.
- Flexible work environment in the heart of San Francisco.
- Opportunity to set the technical roadmap for the next decade.
Key Responsibilities
- Architect and implement scalable AI solutions designed for the 2026 landscape.
- Lead the research and development of Large Language Models (LLMs) and predictive analytics engines.
- Collaborate with cross-functional teams to integrate AI into core product ecosystems.
- Establish best practices for ethical AI, data privacy, and model governance.
- Mentor junior engineers and foster a culture of innovation and continuous learning.
- Drive technical strategy to ensure long-term scalability and performance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of experience in AI/ML engineering, with a strong focus on deep learning.
- Proficiency in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/Azure/GCP).
- Demonstrated success in deploying production-grade machine learning models.
- Strong understanding of neural networks, NLP, and computer vision.
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.
Skills
Artificial Intelligence, Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, AWS, GCP, San Francisco, California, USA
Responsibilities
- Architect and implement scalable AI solutions designed for the 2026 landscape.
- Lead the research and development of Large Language Models (LLMs) and predictive analytics engines.
- Collaborate with cross-functional teams to integrate AI into core product ecosystems.
- Establish best practices for ethical AI, data privacy, and model governance.
- Mentor junior engineers and foster a culture of innovation and continuous learning.
- Drive technical strategy to ensure long-term scalability and performance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of experience in AI/ML engineering, with a strong focus on deep learning.
- Proficiency in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/Azure/GCP).
- Demonstrated success in deploying production-grade machine learning models.
- Strong understanding of neural networks, NLP, and computer vision.
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.