Job Description
We are not just predicting the future; we are building it. Nexus Future Systems is seeking a visionary Principal AI Architect to lead our research into the technological landscape of 2026 and beyond.
In this high-impact role, you will define the architectural blueprints for the next generation of artificial intelligence. We are moving beyond simple automation toward autonomous, reasoning-based systems. You will oversee the development of proprietary Large Language Models (LLMs) and multimodal agents, ensuring our solutions are scalable, secure, and ethically sound.
If you thrive on solving complex problems at the bleeding edge of technology and want to leave a legacy in the AI revolution, this is your opportunity to shape the industry standard.
Responsibilities
- Define 2026 Tech Roadmaps: Lead the architectural vision for our Generative AI infrastructure, ensuring it scales for the demands of the next decade.
- Advanced Model Engineering: Spearhead the fine-tuning and optimization of LLMs using PyTorch and custom transformer architectures.
- System Optimization: Design high-throughput, low-latency inference pipelines capable of real-time decision making.
- Ethical AI Governance: Implement rigorous safety protocols, bias detection, and compliance standards for all AI outputs.
- Cloud Infrastructure: Oversee the deployment of complex ML workloads on AWS/Azure, leveraging Kubernetes and serverless computing.
- Strategic R&D: Prototype emerging technologies such as Agentic Workflows and Multimodal Reasoning.
- Talent Leadership: Mentor senior engineers and foster a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Experience: 8+ years in software engineering with a minimum of 4 years specifically in Machine Learning and Deep Learning.
- Technical Mastery: Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Ecosystem.
- Architecture Skills: Strong background in distributed systems, microservices, and cloud-native design patterns.
- Domain Knowledge: Deep understanding of NLP, Vector Databases (Pinecone, Milvus), and RAG architectures.
- Soft Skills: Exceptional communication skills with the ability to translate technical strategy into business value.