Job Description
Are you ready to define the future of technology?
OmniFuture Labs is seeking a visionary Senior AI Architect to lead our '2026' initiative. We are building the next generation of intelligent systems that will reshape industries. In this pivotal role, you will not just build software; you will architect the very fabric of our AI-driven ecosystem, targeting a revolutionary launch by 2026. You will work at the intersection of machine learning, quantum computing, and human-centric design.
Why Join Us?
- Work on high-impact projects that will define the technological landscape of the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
- Access to cutting-edge hardware and research resources.
If you are a thought leader with a passion for pushing boundaries, we want to hear from you.
Responsibilities
- Architectural Leadership: Define the end-to-end technical roadmap for our 2026 AI suite, ensuring scalability, security, and performance.
- Model Development: Spearhead the development and optimization of complex deep learning models and generative AI systems.
- Team Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Collaboration: Partner with product managers and stakeholders to translate business goals into technical specifications.
- R&D Innovation: Stay ahead of the curve on emerging technologies (e.g., Neuromorphic computing, Edge AI) to integrate into our core stack.
- System Integration: Oversee the seamless integration of AI solutions into existing enterprise infrastructures.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 7+ years of experience in software engineering, with at least 3 years in a senior AI or ML architecture role.
- Technical Skills: Deep proficiency in Python, TensorFlow, PyTorch, and C++.
- Cloud Expertise: Proven experience designing systems on AWS, Azure, or GCP.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical audiences.
- Innovation Mindset: A track record of inventing new solutions to unsolved problems.