Job Description
Architect the Future of Intelligence
Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead our strategic initiatives for the 2026 roadmap. As the landscape of technology accelerates, we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable production systems. In this high-impact role, you will define the architectural blueprint for our next-generation AI ecosystem.
Why This Role?
- Shape the trajectory of AI development in 2026 and beyond.
- Competitive compensation package with performance-based bonuses.
- State-of-the-art work environment in the heart of San Francisco.
Key Responsibilities:
- Design and implement scalable machine learning infrastructure optimized for enterprise-grade performance.
- Lead the architectural strategy for core AI products, ensuring high availability, security, and scalability.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Mentor engineering teams on best practices for code quality, system design, and AI model deployment.
- Conduct research on emerging technologies to forecast trends and mitigate technical risks.
Qualifications:
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
- Proven track record of deploying large-scale ML models into production environments.
- Strong understanding of distributed systems, data structures, and algorithmic efficiency.
- Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.
Responsibilities
- Design and implement scalable machine learning infrastructure optimized for enterprise-grade performance.
- Lead the architectural strategy for core AI products, ensuring high availability, security, and scalability.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Mentor engineering teams on best practices for code quality, system design, and AI model deployment.
- Conduct research on emerging technologies to forecast trends and mitigate technical risks.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
- Proven track record of deploying large-scale ML models into production environments.
- Strong understanding of distributed systems, data structures, and algorithmic efficiency.
- Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.