Job Description
Are you ready to define the technology landscape of 2026?
Nexus Innovations is seeking a visionary Senior AI Architect to lead our cutting-edge research division. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable enterprise solutions. We are not just building software; we are architecting the future of intelligent systems.
As a key player in our 2026 roadmap, you will define the architectural standards for next-generation generative AI, autonomous systems, and neural network infrastructures. If you are passionate about pushing the boundaries of what is possible and leading a team of elite engineers, this is your opportunity to shape the next decade of technology.
Why Join Us?
- Work on high-impact projects that will define the tech industry in 2026 and beyond.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art San Francisco headquarters.
Responsibilities
- Strategic Leadership: Architect and implement scalable AI infrastructure that aligns with the company’s long-term vision for 2026 and beyond.
- Research & Development: Spearhead the exploration of emerging AI paradigms, including Large Language Models (LLMs) and edge computing solutions.
- Team Mentorship: Guide a high-performing team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- System Optimization: Oversee the deployment of robust machine learning pipelines, ensuring high availability and minimal latency.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and product teams.
Qualifications
- Experience: 8+ years of experience in software engineering, with a minimum of 4 years specifically in AI/ML architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
- Leadership: Demonstrated experience managing cross-functional teams and driving technical roadmaps.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Innovation Mindset: A strong track record of patentable research or successful deployment of innovative AI solutions.