Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI & Future Tech Architect to lead our cutting-edge initiatives. We are not just building for today; we are architecting the solutions that will dominate the market in 2026 and beyond. If you have a passion for Generative AI, Neural Networks, and scalable cloud infrastructure, this is your opportunity to shape the future.
Why Join Us?
- Shape the Future: Lead projects with a 5-year horizon, designing architectures for the 2026 era.
- Competitive Compensation: Earn between $180,000 and $250,000 based on experience.
- Flexible Work: Enjoy a hybrid work model in the heart of San Francisco.
We are looking for a strategic thinker who can bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will be the technical guardian of our roadmap, ensuring we stay ahead of the curve.
Responsibilities
- Design and implement scalable AI architectures tailored for 2026 market demands and future-proof scalability.
- Lead the research and development of next-gen machine learning models and Generative AI integrations.
- Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI into core business products.
- Define technical roadmaps and ensure alignment with long-term business goals and 2026 vision.
- Mentor junior engineers and foster a culture of innovation, technical excellence, and continuous learning.
- Conduct code reviews and architectural audits to maintain system integrity and performance.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
- Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
- Deep understanding of cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
- Strong track record of leading technical teams in high-growth, fast-paced environments.
- Excellent communication skills and the ability to translate complex technical concepts for stakeholders.
- Experience with Large Language Models (LLMs) and NLP pipelines is highly preferred.