Job Description
We are on the precipice of a technological revolution. As we look toward 2026 and beyond, the demand for autonomous, intelligent systems is exploding. Nexus Future Labs is seeking a visionary Lead AI Architect to define the infrastructure of tomorrow. You won't just be building models; you will be architecting the very fabric of our AI ecosystem, ensuring scalability, ethical integrity, and unparalleled performance.
If you are a technical leader who thrives in ambiguity and wants to deploy next-generation Generative AI solutions, this is your chance to leave a legacy.
Responsibilities
- Architect and deploy scalable, fault-tolerant Machine Learning and Deep Learning systems designed for the demands of 2026.
- Lead the research and implementation of cutting-edge Generative AI models, including LLMs and diffusion models.
- Design the MLOps pipeline to ensure seamless model training, deployment, and monitoring at scale.
- Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into technical architectures.
- Mentor a high-performing engineering team, fostering a culture of innovation and technical excellence.
- Evaluate emerging AI technologies and frameworks to keep our stack ahead of the curve.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
- 10+ years of experience in software engineering and machine learning, with at least 4 years in a lead or architect role.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern data science libraries.
- Deep understanding of Large Language Models (LLMs), fine-tuning strategies, and prompt engineering.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
- Strong grasp of distributed systems, data structures, and algorithm optimization.