Job Description
Are you ready to define the technological landscape of the future? Nexus Future Labs is seeking a visionary Strategic AI Architect to lead our Research and Development division. In this pivotal role, you will architect the intelligent systems and frameworks that will define the operational standards of 2026 and beyond. We are looking for a thought leader who can bridge the gap between theoretical AI capabilities and real-world enterprise scalability.
Why Join Us?
- Work on cutting-edge projects that shape the next generation of human-machine interaction.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office amenities in the heart of San Francisco.
- Continuous learning budget for conferences, certifications, and workshops.
If you are passionate about the future of Artificial Intelligence and have a track record of innovative architecture, we want to hear from you.
Responsibilities
- Design and implement scalable AI architectures focusing on Generative AI, LLMs, and predictive modeling.
- Define the technical roadmap and strategic vision for AI integration by 2026.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Oversee the deployment of machine learning models in production environments, ensuring high availability and performance.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct research and prototype emerging technologies to stay ahead of industry trends.
- Ensure all AI systems comply with ethical guidelines, data privacy regulations, and security standards.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Minimum of 7 years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Proven experience designing and managing large-scale distributed systems.
- Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
- Exceptional communication skills, capable of explaining complex technical concepts to non-technical stakeholders.