Job Description
Shape the Future of Technology with Nexus Core Systems
We are a leading frontier technology firm pioneering the infrastructure for the next decade. As we gear up for our 2026 Roadmap, we are seeking a visionary Senior AI Architect to lead our Generative AI and Large Language Model (LLM) initiatives. You will define the architectural standards that will power our products for years to come.
If you are passionate about pushing the boundaries of what is possible in AI and want to leave a lasting legacy, we want to hear from you.
Responsibilities
- Architect the 2026 AI Ecosystem: Design and implement scalable, high-performance AI infrastructure capable of handling billions of requests per day.
- Lead Generative AI Strategy: Spearhead the development and integration of state-of-the-art LLMs, ensuring ethical guidelines and safety protocols are met.
- Technical Leadership: Mentor a team of brilliant engineers, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and security experts to translate business requirements into robust technical solutions.
- Roadmap Execution: Define technical milestones for the 2026 product launch, ensuring timely delivery and optimal resource allocation.
- Optimization & Performance: Continuously monitor and optimize model inference latency and cost-efficiency across cloud environments.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field from a top-tier university.
- Experience: 8+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning architectures.
- Technical Stack: Extensive expertise in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
- Cloud Mastery: Proven experience deploying and managing ML workloads on AWS, GCP, or Azure using Kubernetes and Docker.
- System Design: Deep understanding of distributed systems, microservices, and high-availability architecture.
- Leadership: Demonstrated ability to lead engineering teams and drive technical strategy from concept to deployment.