Job Description
Welcome to the vanguard of technological evolution. At Nebula Horizon Labs, we are not just predicting the future; we are architecting it. We are seeking a visionary Senior AI Strategy Architect to lead our 2026 roadmap, ensuring our AI infrastructure remains at the cutting edge of innovation.
In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable enterprise solutions. You will work with a team of elite engineers to define the next generation of generative models and autonomous systems.
Why Join Us?
- Work on projects that define the future of human-machine interaction.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a hub in San Francisco.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of scalable AI architectures that align with our 2026 strategic vision.
- Roadmap Development: Create long-term technical roadmaps for machine learning infrastructure and model deployment.
- Technical Strategy: Evaluate emerging technologies (e.g., LLMs, neural networks) and integrate them into our product ecosystem.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate business goals into technical specifications.
- Ethical AI Compliance: Ensure all AI systems adhere to ethical guidelines, bias mitigation protocols, and regulatory standards.
- Performance Optimization: Drive initiatives to improve model latency, accuracy, and cost-efficiency.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum 7 years of experience in AI/ML engineering, with at least 2 years in a senior architectural or leadership role.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, Azure).
- Strategic Thinking: Proven ability to translate complex technical concepts into business value for stakeholders.
- Communication: Excellent verbal and written communication skills, capable of presenting to executive leadership.
- Problem Solving: Demonstrated track record of solving complex engineering challenges in high-scale environments.