Job Description
We are Nexus Future Labs, a pioneering technology firm at the forefront of generative intelligence and next-generation computing. As we accelerate towards our 2026 roadmap, we are seeking a visionary Senior AI Architect to lead the architectural strategy for our flagship LLMs and autonomous agent systems. If you are passionate about defining the technological landscape of the future and possess a deep understanding of AI evolution, this is your opportunity to shape history.
In this high-impact role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for architecting the infrastructure that powers our 2026 AI ecosystem, ensuring performance, security, and ethical alignment. Join us in building the intelligence that will define the next decade.
Responsibilities
- Architect and design the core infrastructure for next-generation generative AI models, specifically tailored for the 2026 technological landscape.
- Lead the technical strategy for scaling our Large Language Models (LLMs) to handle multi-modal, real-time inference at enterprise scale.
- Define and implement robust evaluation frameworks to measure model performance, safety, and alignment with human values.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex AI concepts into tangible products.
- Ensure the security and privacy of proprietary data across all AI pipelines and deployment environments.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
- Stay ahead of industry trends, specifically monitoring advancements in quantum computing and neuromorphic hardware for future AI integration.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
- 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and deep learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tooling (Kubernetes, MLflow, Ray).
- Proven track record of deploying scalable AI solutions that have impacted millions of users.
- Strong understanding of Transformer architectures, attention mechanisms, and natural language processing (NLP).
- Experience with ethical AI principles and bias mitigation in training data.
- Exceptional leadership skills with a history of managing diverse, high-performance engineering teams.