Job Description
We are at the precipice of a technological revolution, and Nexus Future Systems is leading the charge into the 2026 era of Artificial Intelligence. We are seeking a visionary Lead AI Architect to design the autonomous systems and neural frameworks that will define the next decade of human-machine collaboration.
In this role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for architecting the core infrastructure for our upcoming generative agents, ensuring they are not only powerful but also ethical, secure, and efficient.
Why Join Us?
- Work on cutting-edge Generative AI and Agentic workflows.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect Next-Gen AI Systems: Design scalable, fault-tolerant architectures for large language models (LLMs) and autonomous agent frameworks.
- Model Optimization: Implement techniques such as quantization, pruning, and distillation to deploy high-performance models on edge devices.
- Research Integration: Collaborate with the R&D lab to translate theoretical breakthroughs into production-ready code and APIs.
- Ethical AI Oversight: Establish and enforce guidelines for bias mitigation, data privacy, and algorithmic transparency in our AI models.
- Team Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Infrastructure Scaling: Manage cloud infrastructure costs and optimize resource allocation for high-throughput inference workloads.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field from a top-tier institution.
- Experience: 7+ years of experience in software engineering with a focus on AI/ML, including at least 3 years in a lead or architectural role.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX. Proven experience fine-tuning and deploying Large Language Models.
- Programming: Proficiency in Python, C++, and distributed systems programming.
- Leadership: Demonstrated ability to lead cross-functional teams and drive complex technical projects from conception to deployment.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.