Job Description
We are seeking a visionary Senior AI Architect to lead the strategic development of our flagship initiative, Project 2026. As a pioneer in next-generation generative intelligence, Nebula Horizon is defining the digital landscape of the near future. This role requires not just technical expertise, but a strategic mind to architect scalable systems that will define the industry standard for the year 2026.
In this high-impact position, you will work at the intersection of theoretical AI research and practical engineering, collaborating with a world-class team of data scientists and software engineers. If you are passionate about shaping the future of technology and possess the drive to lead complex architectural challenges, we want to meet you.
Responsibilities
- Architectural Leadership: Define and execute the technical roadmap for Project 2026, ensuring systems are scalable, secure, and future-proof.
- Model Optimization: Design and implement high-performance deep learning models and distributed computing pipelines to handle massive data throughput.
- Technical Strategy: Translate business goals into technical specifications, bridging the gap between research concepts and production-ready code.
- Team Mentorship: Lead a team of exceptional engineers, conducting code reviews, architecture reviews, and fostering a culture of continuous innovation.
- Integration & Deployment: Oversee the CI/CD processes and deployment of AI models into cloud environments, ensuring zero-downtime releases.
- Risk Management: Identify potential technical debt and architectural risks early in the development lifecycle.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 10+ years of experience in software engineering and AI/ML architecture, with at least 5 years in a senior leadership role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with large language model (LLM) architecture.
- Cloud Expertise: Strong experience designing solutions on AWS, GCP, or Azure, with a focus on serverless and containerized architectures.
- Problem Solving: Proven track record of solving complex, unstructured problems in high-pressure environments.
- Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.