Job Description
Are you ready to architect the intelligence of tomorrow?
OmniFuture Corp is seeking a visionary Senior Predictive AI Architect to lead our strategic roadmap toward the 2026 horizon. In this role, you will not just write code; you will define the predictive paradigms that will shape industries for years to come. We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn complex data into actionable foresight.
Join our elite engineering team in San Francisco and be at the forefront of the next evolution in artificial intelligence.
Responsibilities
- Architect Scalable Systems: Design and implement robust, high-throughput predictive modeling frameworks capable of handling petabyte-scale data streams.
- Lead Strategic Roadmaps: Define the technical vision for our 2026 product suite, ensuring alignment with business objectives and emerging trends.
- Drive Innovation: Spearhead research into novel neural architectures and reinforcement learning techniques to improve prediction accuracy by 40% year-over-year.
- Mentor Engineering Talent: Cultivate a high-performance engineering culture by providing technical guidance and mentorship to junior and mid-level developers.
- Optimize Performance: Continuously refine model latency and resource utilization to ensure seamless integration into production environments.
- Collaborate Across Disciplines: Partner with product managers, data scientists, and stakeholders to translate business requirements into technical specifications.
Qualifications
- Education: Master’s or PhD in Computer Science, Data Science, or a related quantitative field (or equivalent professional experience).
- Technical Expertise: Extensive experience with Python, TensorFlow, PyTorch, and distributed computing systems (e.g., Kubernetes, Apache Spark).
- Experience: 8+ years of professional software engineering experience, with at least 3 years in a senior or lead capacity within AI/ML.
- Modeling: Deep understanding of statistical modeling, time-series analysis, and natural language processing (NLP).
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical audiences.
- Problem Solving: Proven track record of solving ambiguous, high-stakes problems in fast-paced environments.