Job Description
Are you ready to define the future?
We are building the operating system for the next decade. As a Lead AI Architect at OmniFuture Technologies, you won't just write code; you will engineer the neural pathways that will power the world in 2026 and beyond. We are looking for a visionary technical leader to guide our engineering teams in designing scalable, ethical, and transformative artificial intelligence systems.
Why Join Us?
- Shape the roadmap for the 2026 era of tech.
- Work with state-of-the-art AI and quantum-ready infrastructure.
- Competitive compensation and equity packages.
- Flexible hybrid work environment in the heart of San Francisco.
If you are passionate about pushing the boundaries of what is possible in software engineering, we want to meet you.
Responsibilities
- Architect Scalable Systems: Design and implement robust, scalable AI architectures that can handle the demands of next-generation data processing and neural network training.
- Lead Technical Vision: Define the technical strategy and roadmap for the 2026 product suite, ensuring alignment with business goals and emerging industry trends.
- Team Mentorship: Foster a culture of innovation and excellence by mentoring senior engineers and conducting code reviews that enforce high standards of quality and security.
- Bridge the Gap: Act as the primary liaison between engineering, product management, and executive leadership to translate complex technical concepts into actionable business strategies.
- Optimize Performance: Continuously analyze system performance to identify bottlenecks and implement optimization strategies for latency, throughput, and cost-efficiency.
- Ethical AI Governance: Ensure all architectural decisions adhere to ethical AI standards and regulatory compliance frameworks.
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 3 years in a Lead or Architect role within the AI/ML space.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks. Experience with cloud-native architecture (AWS, GCP, or Azure) is required.
- System Design: Proven track record of designing large-scale distributed systems and microservices architectures.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical ideas to non-technical stakeholders.
- Adaptability: Demonstrated ability to work in fast-paced, agile environments and pivot quickly based on new market insights.