Job Description
We are seeking a visionary Senior Predictive AI Architect to define the technological landscape for 2026 and beyond. You will be at the forefront of integrating generative models with long-term data forecasting, building systems that don't just process the present but anticipate the future.
In this role, you will lead a high-performance team in designing scalable infrastructure for next-generation AI solutions. If you are passionate about shaping the future of technology and possess an exceptional ability to translate complex concepts into robust systems, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the next decade of tech.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium San Francisco office access.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of scalable, fault-tolerant predictive AI systems aligned with the 2026 strategic roadmap.
- Model Strategy: Select and fine-tune large language models and predictive algorithms to solve complex business challenges.
- Team Mentorship: Lead a team of junior and senior engineers, conducting code reviews, architecture discussions, and technical workshops.
- Data Integration: Integrate disparate data sources into a unified predictive pipeline, ensuring data integrity and real-time processing.
- R&D: Explore emerging technologies (e.g., Quantum AI, Neuro-symbolic computing) and prototype viable solutions.
- Cross-functional Collaboration: Partner with product managers and stakeholders to define technical requirements and product features.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and large-scale systems design.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Strategic Mindset: Demonstrated ability to think long-term and translate high-level business goals into concrete technical roadmaps.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.
- Certifications: Relevant certifications (e.g., AWS Certified Machine Learning Specialty) are a plus.