Job Description
We are on the precipice of a new era in technology. Nexus Future Systems is seeking a visionary Lead AI Architect to architect the infrastructure that will define the digital landscape of 2026 and beyond.
In this role, you won't just be maintaining legacy systems; you will be building the autonomous, agentic AI frameworks that will power the next generation of enterprise solutions. We are looking for a technical leader who thrives on complexity and is obsessed with pushing the boundaries of what is possible with Large Language Models (LLMs) and generative AI.
Why Join Us?
- Work on cutting-edge projects that are shaping the future of tech.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in Austin.
If you are ready to lead the charge into the future, apply today.
Responsibilities
- Design and implement scalable, high-performance AI infrastructure capable of handling billions of inference requests.
- Lead the architecture of Agentic AI workflows and autonomous decision-making systems for enterprise clients.
- Oversee the deployment and fine-tuning of proprietary Large Language Models (LLMs) and multimodal models.
- Establish best practices for MLOps, ensuring model governance, security, and compliance.
- Mentor a team of senior data scientists and machine learning engineers to foster a culture of innovation.
- Collaborate with cross-functional product teams to translate business requirements into technical AI roadmaps.
- Evaluate emerging technologies (e.g., quantum computing interfaces, edge AI) and integrate viable solutions.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in software engineering with at least 5 years focused on Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience designing distributed systems using Kubernetes, Docker, and microservices architecture.
- Proven track record of leading high-performance engineering teams and managing complex projects.
- Deep understanding of NLP, Natural Language Processing, and Generative AI technologies.
- Experience with cloud platforms (AWS, GCP, or Azure) and vector databases.