Job Description
We are at the precipice of a technological revolution, and we are looking for a visionary Lead AI Architect to define the roadmap for 2026 and beyond.
At Nexus Future Systems, we don't just build software; we engineer the digital consciousness of tomorrow. If you are passionate about Generative AI, Large Language Models (LLMs), and Artificial General Intelligence (AGI), this is your opportunity to lead a world-class team in building the future of intelligent systems.
The Future is Now
In this role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for designing architectures that not only solve today's problems but are adaptable to the rapid advancements of 2026.
Responsibilities
- Architect and deploy scalable AI infrastructures capable of processing petabytes of data with real-time latency.
- Lead the development and integration of cutting-edge Large Language Models (LLMs) and Generative AI frameworks.
- Define the technical vision for Artificial General Intelligence (AGI) initiatives within the organization.
- Establish robust ethical AI governance frameworks and ensure compliance with global data regulations.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into market-ready products.
- Mentor junior developers and conduct technical architecture reviews to maintain high code quality standards.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern Machine Learning libraries.
- Proven experience designing distributed systems and cloud-native solutions on AWS, Azure, or GCP.
- Strong understanding of Natural Language Processing (NLP) and Deep Learning architectures.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-velocity startup environment.