Job Description
Define the Next Decade of Technology
At OmniCorp Future Systems, we are not just building for today; we are engineering the infrastructure for the year 2026 and beyond. We are looking for a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems that will redefine human-machine interaction.
In this high-impact role, you will lead a cross-functional team of engineers, data scientists, and futurists to build scalable, robust, and ethical AI solutions. If you thrive in ambiguity and are passionate about pushing the boundaries of what is possible in the realm of Artificial General Intelligence (AGI) and Quantum Computing integration, we want to hear from you.
Why Join Us?
- Impact: Your work will directly shape the core technologies of the future.
- Autonomy: You will have the freedom to design architectural blueprints without unnecessary bureaucracy.
- Equity: Competitive stock options in a unicorn growth-stage company.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the implementation of complex AI and machine learning architectures designed for high-throughput, low-latency environments.
- Quantum-ML Integration: Lead research and development into hybrid systems that leverage both classical cloud computing and emerging quantum algorithms.
- Strategic Leadership: Mentor a team of senior engineers, fostering a culture of innovation, code quality, and continuous learning.
- Roadmap Definition: Create long-term technical roadmaps aligned with the company's vision for 2026 and beyond.
- Performance Optimization: Drive initiatives to optimize neural network inference and reduce computational overhead for edge devices.
- Cross-Functional Collaboration: Work closely with product managers and UX designers to translate futuristic concepts into viable technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering and 5+ years in AI/ML architecture leadership.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Cloud Mastery: Proven track record of designing systems on AWS, Google Cloud, or Azure with a focus on serverless and containerized environments.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and make critical architectural decisions under pressure.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.