Job Description
We are on the cusp of a technological revolution, and Nexus Future Labs is leading the charge into 2026. We are seeking a visionary Generative AI Architect to design the next generation of autonomous systems and intelligent applications. If you are passionate about pushing the boundaries of what is possible with AI and want to define the roadmap for the future, this is your opportunity.
In this role, you will bridge the gap between theoretical AI research and scalable enterprise implementation, ensuring our products remain at the forefront of innovation.
Responsibilities
- Architect Future-Proof Systems: Design and implement robust, scalable Generative AI architectures that anticipate the demands of 2026 and beyond.
- Lead Model Strategy: Define the technical roadmap for Large Language Models (LLMs) and multimodal AI systems, driving R&D initiatives.
- Optimize Performance: Continuously fine-tune models for latency, accuracy, and cost-efficiency in high-volume production environments.
- Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and compliance with evolving global regulations.
- Collaborate with Cross-Functional Teams: Work closely with product managers, engineers, and designers to translate complex AI capabilities into user-centric features.
- Pilot New Technologies: Evaluate and integrate emerging AI technologies (e.g., Quantum AI interfaces, Neural Interfaces) to stay ahead of the curve.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of experience in machine learning engineering, with at least 2 years specifically in Generative AI or LLM development.
- Technical Skills: Deep proficiency in Python, PyTorch, and TensorFlow; experience with MLOps pipelines (Docker, Kubernetes, MLflow).
- Model Expertise: Strong understanding of Transformer architectures, diffusion models, and reinforcement learning.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to troubleshoot complex system issues and innovate under tight deadlines.