Job Description
We are not just building software; we are architecting the cognitive infrastructure for the next decade. Nexus Future Systems is seeking a visionary Senior AI Architect (2026 Roadmap) to lead our initiative in building autonomous, agentic AI systems.
In this pivotal role, you will be at the forefront of generative AI, fine-tuning Large Language Models (LLMs), and designing scalable multimodal architectures that will define the industry standard for 2026 and beyond. You will collaborate with a world-class team of researchers and engineers to push the boundaries of what is possible with artificial intelligence.
Why Join Us?
- Future-Proof Role: Work on the roadmap specifically designed for the AI landscape of 2026.
- Impact: Your work will power next-generation enterprise solutions.
- Autonomy: We trust our architects to make high-level decisions and drive technical vision.
Ready to shape the future? Apply today.
Responsibilities
- Architect Future-Proof AI Systems: Design and implement robust, scalable architectures for generative AI models, focusing on long-term sustainability and performance.
- Lead Model Strategy: Define the technical roadmap for fine-tuning and deploying LLMs to ensure readiness for the 2026 market demands.
- Multimodal Integration: Spearhead the integration of text, vision, and audio data to create seamless, context-aware AI agents.
- Optimization & Efficiency: Drive research into model quantization, pruning, and latency reduction to optimize inference costs.
- R&D Leadership: Conduct cutting-edge research to solve complex problems in reasoning, hallucination reduction, and autonomous decision-making.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- Deep understanding of Machine Learning and Deep Learning fundamentals.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Extensive experience working with Large Language Models (GPT-4, Claude, Llama 3).
- Strong background in distributed systems and cloud infrastructure (AWS/GCP).
- Proven track record of leading complex technical projects from conception to deployment.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.