Job Description
Are you ready to define the next era of artificial intelligence? Nebula Future Systems is seeking a visionary Lead AI Architect to spearhead our 2026 roadmap. You won't just be building models; you will architect the very fabric of next-gen computing and intelligent systems.
We are looking for a pioneer who understands the intersection of generative AI, scalable neural networks, and ethical AI frameworks. If you have a passion for solving complex problems and a desire to lead a world-class engineering team, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
- Continuous learning opportunities and access to the latest tech stack.
Responsibilities
- Architect Next-Gen Systems: Design and deploy scalable machine learning infrastructure capable of handling petabyte-scale data streams.
- R&D Leadership: Lead research initiatives in Large Language Models (LLMs) and generative adversarial networks to stay ahead of industry trends.
- Team Mentorship: Mentor a team of 5+ senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Model Optimization: Drive the optimization of AI models for low latency and high throughput in production environments.
- Strategic Planning: Collaborate with C-level executives to define the technical roadmap for the 2026 vision and beyond.
- Ethical AI Compliance: Ensure all AI implementations adhere to strict ethical guidelines and regulatory standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS, GCP).
- Domain Knowledge: Proven track record in NLP, Computer Vision, or Reinforcement Learning.
- Leadership: Demonstrated ability to lead cross-functional teams and manage complex projects from conception to delivery.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.