Job Description
Are you ready to engineer the technological landscape of 2026 and beyond? Nexus Future Systems is on a mission to build the infrastructure of tomorrow, today. We are seeking a visionary AI Architect to spearhead our 'Horizon 2026' initiative.
In this high-impact role, you will bridge the gap between theoretical AI research and production-grade reality. You will design scalable, self-learning systems that define the next generation of enterprise intelligence. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting legacy, we want to meet you.
Key Highlights:
- Future-Ready Tech Stack: Work with cutting-edge Generative AI, Quantum-ready algorithms, and next-gen cloud infrastructure.
- Leadership & Vision: Shape the technical roadmap for our 2026 product line.
- Impactful Work: Deploy solutions that directly impact millions of users globally.
Responsibilities
- Architect and design the core infrastructure for the 'Horizon 2026' AI platform, ensuring scalability and resilience.
- Lead the technical strategy for machine learning pipelines, focusing on real-time inference and edge computing.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Establish best practices for ethical AI, data governance, and model explainability.
- Mentor senior engineers and foster a culture of innovation and continuous learning.
- Evaluate emerging technologies (e.g., Neuromorphic computing, Advanced LLMs) to drive product differentiation.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture leadership.
- Deep expertise in Python, PyTorch, TensorFlow, and MLOps frameworks (e.g., Kubeflow, MLflow).
- Proven track record designing distributed systems on AWS, Azure, or GCP.
- Strong understanding of Large Language Models (LLMs), NLP, and Computer Vision.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.