Job Description
We are pioneering the 2026 Horizon Initiative, a cutting-edge research program focused on the convergence of Generative AI and Quantum Computing. We are seeking a visionary Lead AI Architect to design the foundational infrastructure that will redefine the technological landscape.
In this role, you won't just be writing code; you will be architecting the future. You will lead a world-class team of engineers in building scalable, ethical, and super-intelligent systems capable of solving humanity's most complex challenges by 2026.
Why Join Us?
- Impact-Driven Culture: Your work directly shapes the next decade of technology.
- Top-Tier Compensation: Competitive salary and equity packages.
- Future-Ready Environment: Work with the latest tools in AI, ML, and Cloud Infrastructure.
Are you ready to step into the future? Apply now.
Responsibilities
- Architect and oversee the development of the core 2026 Horizon infrastructure, ensuring scalability and resilience.
- Define technical roadmaps and architectural standards for Generative AI and Agentic workflows.
- Mentor senior engineers and foster a culture of innovation and continuous learning.
- Collaborate with cross-functional teams to translate futuristic concepts into executable technical specifications.
- Ensure all systems adhere to the highest standards of ethical AI, data privacy, and security.
- Conduct rigorous code reviews and performance optimization for large-scale distributed systems.
- Stay ahead of industry trends in AI, Quantum computing, and edge processing.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven experience designing and deploying Large Language Models (LLMs) and Generative AI solutions.
- Strong understanding of quantum computing principles and their application in classical AI optimization.
- Excellent leadership and communication skills, capable of influencing stakeholders at all levels.
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field is preferred.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).