Job Description
About Nexus Future Technologies
We are a premier think-tank and engineering firm pioneering the technologies that will define the next decade. We are currently seeking a visionary Senior AI Architect to lead the strategic roadmap for our 2026 suite of products. In this role, you will architect the next generation of autonomous agents and multi-modal AI systems.
The Role
You will be the bridge between theoretical AI research and scalable production engineering. You will define the architectural patterns for 2026, ensuring our systems are secure, efficient, and capable of handling complex, self-directed tasks. If you are passionate about the future of Generative AI and want to build the infrastructure for tomorrow, we want to hear from you.
Responsibilities
- Lead 2026 Roadmap: Architect the technical strategy for next-generation Agentic AI systems, focusing on autonomous decision-making and multi-modal interaction.
- System Design: Design scalable, fault-tolerant machine learning pipelines and large language model (LLM) orchestration frameworks.
- Performance Optimization: Implement advanced optimization techniques to reduce latency and inference costs for edge and cloud deployments.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Security & Compliance: Implement rigorous security protocols and data governance frameworks to ensure AI safety and privacy compliance.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years in a specialized role designing AI or machine learning systems.
- Core Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX, with a strong command of MLOps and containerization (Docker, Kubernetes).
- AI Specialization: Proven track record of working with Large Language Models (GPT, Llama, Claude) and building Retrieval-Augmented Generation (RAG) systems.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Problem Solving: Exceptional ability to solve complex, unstructured problems and translate them into robust technical architectures.