Job Description
Are you ready to architect the future of artificial intelligence? Nexus Horizon is seeking a visionary Senior AI Solutions Architect to lead our next-generation engineering initiatives. In this pivotal role, you will define the technical strategy for our 2026 roadmap, focusing on scalable Generative AI, Large Language Models (LLMs), and autonomous systems.
We are not just building software; we are building the cognitive infrastructure of tomorrow. If you have a passion for pushing the boundaries of what's possible in machine learning and possess the leadership skills to guide high-performance teams, we want to meet you.
Why Join Us?
- Work on cutting-edge AI models that impact millions of users.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Design and deploy scalable AI architectures for enterprise-grade applications, ensuring high availability and performance.
- Lead the technical strategy for our 2026 roadmap, specifically focusing on Generative AI integration and LLM optimization.
- Oversee the full machine learning lifecycle, from data ingestion and model training to MLOps and deployment.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Establish best practices for code quality, security, and ethical AI usage within the organization.
- Conduct architectural reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and system design.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX, with proven experience deploying models to production.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures is highly preferred.
- Proven track record of leading engineering teams and managing complex technical projects.
- Master’s degree or PhD in Computer Science, Machine Learning, or a related field.