Job Description
We are seeking a visionary Senior AI Architect to lead our innovation labs and define the technical roadmap for our 2026 product suite. At Nexus Systems, we are building the next generation of autonomous intelligent agents capable of complex reasoning and multi-modal interaction. You will be at the forefront of shaping the future of technology, working on cutting-edge Generative AI and Agentic workflows.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are scalable, secure, and transformative.
Responsibilities
- Architect & Lead: Design and implement scalable machine learning infrastructure and pipelines tailored for the 2026 era of AI.
- Model Optimization: Lead the optimization of Large Language Models (LLMs) and diffusion models for real-time, low-latency inference.
- R&D Strategy: Identify emerging AI trends and technologies, evaluating their feasibility for integration into our core products.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Production Deployment: Oversee the deployment of AI models into cloud environments (AWS/GCP), ensuring high availability and fault tolerance.
- Collaboration: Partner with product managers and designers to translate complex technical concepts into user-centric features.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Experience: 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML architecture and deep learning.
- Technical Stack: Proficiency in Python, PyTorch, or TensorFlow; experience with vector databases (Pinecone, Milvus) and LangChain/LlamaIndex.
- System Design: Strong understanding of distributed systems, microservices, and cloud-native architectures.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes environments.
- Communication: Excellent written and verbal communication skills, capable of presenting technical strategies to non-technical stakeholders.