Job Description
We are at the precipice of a new era in technology. Nexus Future Labs is seeking a visionary Senior AI Architect to lead the design and implementation of the AI systems that will define the 2026 landscape.
In this pivotal role, you will not just build models; you will architect the infrastructure for the next generation of autonomous agents and generative intelligence. If you are passionate about pushing the boundaries of what is possible and want to shape the future of human-machine interaction, we want to hear from you.
Responsibilities
- Architect the 2026 Roadmap: Define and execute the technical strategy for our core AI infrastructure, ensuring scalability and performance for future workloads.
- Advanced Model Deployment: Spearhead the deployment of large-scale LLMs and multimodal systems, optimizing for low-latency inference in real-time environments.
- System Optimization: Engineer high-performance computing solutions that maximize GPU utilization and reduce operational costs.
- Ethical AI Leadership: Establish governance frameworks and guardrails to ensure AI outputs are fair, transparent, and aligned with human values.
- Cross-Functional Collaboration: Partner with product managers, engineers, and researchers to translate cutting-edge research into production-ready applications.
- Talent Development: Mentor a high-performing team of data scientists and ML engineers, fostering a culture of continuous innovation.
Qualifications
- Master’s or PhD in Computer Science, AI, or a related field. (Exceptional candidates with significant industry experience will be considered).
- 10+ years of experience in software engineering and machine learning. Deep expertise in building and deploying large-scale AI systems.
- Proficiency in Python, PyTorch, and TensorFlow. Strong understanding of distributed systems and parallel computing.
- Experience with MLOps pipelines. Familiarity with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure) at an enterprise level.
- Strong background in Generative AI and LLM fine-tuning techniques.
- Proven track record of leading technical projects from concept to delivery.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.