Job Description
Are you ready to define the future of intelligence?
Nexus Horizon is seeking a visionary Strategic AI Architect to lead our technological roadmap for 2026 and beyond. In this high-impact role, you will bridge the gap between cutting-edge AI research and scalable production infrastructure. You won't just be building systems; you will be architecting the digital landscape of the next decade.
We are looking for a leader who thrives on complexity and innovation. If you have a passion for generative models, neural networks, and building systems that scale, we want to hear from you.
Key Highlights:
- Shape the 2026 AI Strategy for a Fortune 500 leader.
- Work with state-of-the-art LLMs and autonomous systems.
- Competitive compensation package ($180k - $250k) plus equity.
Ready to build the future? Apply today.
Responsibilities
- Define and execute the comprehensive 2026 technology roadmap, prioritizing Generative AI and autonomous agents.
- Design scalable, fault-tolerant microservices architecture capable of handling petabyte-scale data streams.
- Lead a team of senior engineers in the development, deployment, and optimization of proprietary machine learning models.
- Ensure rigorous security, privacy, and compliance standards across all AI infrastructure.
- Collaborate closely with product and business stakeholders to translate high-level strategic goals into concrete technical specifications.
- Conduct architectural reviews and mentor junior staff on advanced ML engineering best practices.
Qualifications
- 10+ years of experience in software architecture, with a specific focus on AI/ML systems and Large Language Models.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong command of distributed systems, cloud computing (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of leading cross-functional teams in fast-paced, high-growth environments.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Master's degree in Computer Science, Data Science, or a related technical field is preferred.