Job Description
Are you ready to define the technology of tomorrow?
Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence solutions. In this pivotal role, you won't just build models; you will architect the intelligent infrastructure that will define the industry standards for 2026 and beyond. You will work at the intersection of deep learning, scalable cloud architecture, and ethical AI implementation.
Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in machine learning. We offer a competitive compensation package, equity options, and the opportunity to shape the future of the digital landscape.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, high-performance machine learning infrastructure capable of supporting complex, real-time decision-making processes.
- Lead Research & Development: Drive innovation in Generative AI, Large Language Models (LLMs), and predictive analytics to stay ahead of the 2026 technology curve.
- Model Optimization: Oversee the end-to-end lifecycle of AI models, from data ingestion and training to fine-tuning and deployment using MLOps pipelines.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to translate business objectives into technical AI roadmaps.
- Ethical AI Governance: Establish frameworks for AI transparency, bias mitigation, and responsible data usage to ensure compliance with evolving regulations.
- Technical Mentorship: Mentor junior engineers and architects, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 7+ years of professional experience in software engineering, with at least 3 years in a lead or architect role specifically focused on AI/ML.
- Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, or JAX. Experience with distributed computing (Spark, Kubernetes) and cloud platforms (AWS, GCP, Azure) is essential.
- Specialized Knowledge: Proven track record in designing NLP systems, Computer Vision pipelines, or Reinforcement Learning agents.
- Leadership: Demonstrated ability to lead technical teams, manage complex projects, and communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Exceptional analytical skills with a focus on system scalability, performance optimization, and fault tolerance.