Job Description
We are on the cusp of a technological revolution, and OmniFuture Labs is building the infrastructure for the 2026 era. We are seeking a visionary Lead AI Architect to design and implement the next generation of neural networks and predictive systems.
In this pivotal role, you will not just write code; you will define the architectural DNA of our future platforms. You will lead a team of elite engineers, bridge the gap between theoretical AI research and production-grade deployment, and ensure our systems are scalable, secure, and ready for the exponential growth expected in 2026 and beyond.
Why join us?
- Work on cutting-edge Generative AI and Autonomous Systems.
- Competitive equity package and top-tier health benefits.
- Remote-first culture with hubs in Austin and San Francisco.
If you are ready to shape the digital landscape of 2026, we want to hear from you.
Responsibilities
- Architect the 2026 Ecosystem: Design a scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams and real-time inference.
- Lead Technical Strategy: Define the technical roadmap for our AI initiatives, ensuring alignment with business goals and industry trends for the year 2026.
- Model Optimization: Oversee the development and fine-tuning of Large Language Models (LLMs) and computer vision systems to maximize efficiency and accuracy.
- Talent Development: Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning within the engineering team.
- Cross-Functional Collaboration: Partner with product managers and security experts to integrate AI solutions seamlessly into client-facing products.
- R&D Leadership: Stay ahead of the curve by researching emerging technologies, including quantum computing interfaces and neuromorphic hardware.
Qualifications
- Experience: 10+ years of experience in software engineering and at least 5 years in leading AI/ML architecture teams.
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- AI Specialization: Proven track record of deploying production-grade machine learning models and NLP applications.
- Leadership: Strong track record of managing cross-functional teams and delivering complex projects on time.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.