Job Description
Shape the Future of Technology for 2026
Nexus Future Systems is pioneering the next generation of intelligent software. As we prepare our roadmap for the year 2026, we are seeking a visionary Senior AI Architect to lead the design and implementation of scalable, cutting-edge machine learning solutions. If you are passionate about deploying Large Language Models (LLMs) and building resilient neural architectures, this is your opportunity to define the standard.
Why Join Us?
- Work at the intersection of creativity and technology.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with hubs in San Francisco and New York.
Our Commitment
We are dedicated to fostering an inclusive environment where diverse perspectives drive innovation. We are an equal opportunity employer committed to building a representative workplace.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of complex AI infrastructure designed to scale for 2026 enterprise demands.
- Model Strategy: Lead the selection and fine-tuning of Generative AI models, ensuring optimal performance and ethical alignment.
- Technical Roadmap: Collaborate with cross-functional teams to define technical milestones and deliverables for future quarters.
- Code Quality: Establish best practices for MLOps, CI/CD pipelines, and code reviews to maintain high engineering standards.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
- Experience: 8+ years of professional software engineering experience with at least 4 years specializing in AI/ML architecture.
- Programming: Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/Azure), and microservices.
- Problem Solving: Demonstrated ability to tackle unstructured problems and deliver robust production solutions.