Job Description
We are at the forefront of the technological revolution, building the infrastructure for tomorrow. Nexus Future Labs is seeking a visionary Senior AI Architect to lead Project 2026, our next-generation generative intelligence platform. If you are passionate about shaping the future of AI, ethical machine learning, and scalable neural architectures, we want to hear from you.
As a key member of our elite R&D team, you will define the technical roadmap for autonomous systems and next-level LLMs. This role offers the opportunity to work on cutting-edge problems that will define the industry landscape in 2026 and beyond.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, high-performance neural network architectures capable of handling petabyte-scale data processing.
- Lead Project 2026 Development: Spearhead the engineering strategy for our flagship initiative, ensuring delivery of milestones ahead of the 2026 roadmap.
- Optimize Model Efficiency: Reduce inference latency and computational costs using advanced quantization and edge-deployment techniques.
- Ethical AI Governance: Establish frameworks for bias mitigation and transparency in autonomous decision-making algorithms.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to integrate AI seamlessly into our ecosystem.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering with a focus on AI/ML, including at least 3 years in a senior architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
- Model Engineering: Proven track record of deploying Large Language Models (LLMs) and fine-tuning foundation models.
- System Design: Strong understanding of microservices architecture, cloud infrastructure (AWS/GCP), and data pipeline design.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.