Job Description
We are seeking a visionary Lead AI Architect to spearhead our technology roadmap for 2026 and beyond. At Nebula Innovations, we are building the infrastructure that will define the future of intelligent systems. You will be responsible for architecting scalable, robust AI solutions and leading a team of elite engineers in a high-impact environment. If you are passionate about the next generation of artificial intelligence and want to leave a lasting legacy, this is your opportunity to shape the future.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive compensation package with equity options.
- Flexible remote-first policy with premium office amenities.
- Continuous learning budget and access to the latest tech stacks.
Responsibilities
- Architect and design scalable machine learning systems aligned with the 2026 product vision.
- Lead a high-performance team of data scientists, ML engineers, and software developers.
- Drive innovation in Deep Learning, NLP, and Computer Vision technologies.
- Define technical standards, architecture patterns, and best practices for AI development.
- Collaborate closely with product and engineering leadership to translate business requirements into technical roadmaps.
- Conduct deep-dive research into emerging AI trends and evaluate their applicability to our infrastructure.
- Mentor junior staff and foster a culture of technical excellence and continuous improvement.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying large-scale, production-ready AI models.
- Strong understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.