Job Description
We are on a mission to define the technological landscape of 2026 and beyond. Apex Future Systems is seeking a visionary Senior AI Architect to join our elite engineering team in San Francisco.
As a key player in our 2026 strategic roadmap, you will be responsible for architecting the next generation of generative AI and predictive intelligence systems. If you are passionate about pushing the boundaries of what is possible with Machine Learning and want to build scalable, robust solutions that impact millions, we want to hear from you.
Why Join Us?
- Work with cutting-edge technologies including LLMs, Reinforcement Learning, and Quantum Computing interfaces.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with a hub in the heart of the Bay Area.
Responsibilities
- Architect & Deploy: Design and implement scalable machine learning infrastructure capable of handling high-velocity data streams and complex inference tasks.
- 2026 Roadmap Leadership: Spearhead the technical strategy for our upcoming product releases, focusing on next-gen AI capabilities and ethical AI frameworks.
- Model Optimization: Continuously optimize model performance, accuracy, and latency to ensure seamless user experiences across global markets.
- Collaboration: Partner with product managers, data scientists, and engineers to translate business requirements into technical AI solutions.
- Best Practices: Establish and enforce industry-standard coding practices, CI/CD pipelines, and data governance protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in Machine Learning Engineering or Data Science, with at least 2 years in a lead or architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing frameworks (Ray, Spark) is a plus.
- AI Specialization: Strong background in Natural Language Processing (NLP), Computer Vision, or Generative Adversarial Networks (GANs).
- Cloud Mastery: Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).