Job Description
We are pioneering the 2026 Initiative, a revolutionary project designed to redefine human-computer interaction through autonomous AI agents. We are seeking a visionary Lead AI Architect to build the scalable infrastructure that will power the next generation of intelligent systems.
Why Join Us?
At Nexus Future Labs, we don't just predict the future; we engineer it. You will have the autonomy to experiment, the resources to innovate, and the impact to shape the trajectory of AI technology globally.
Your Mission:
Architect, lead, and deploy state-of-the-art machine learning models that are robust, ethical, and transformative.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable AI/ML infrastructure and distributed systems capable of handling millions of concurrent requests.
- Model Development: Spearhead the research and implementation of advanced Large Language Models (LLMs) and generative AI agents tailored for 2026 standards.
- Team Mentorship: Recruit, train, and mentor a high-performance team of data scientists, ML engineers, and AI researchers.
- Performance Optimization: Continuously optimize model inference speed, memory efficiency, and cost-effectiveness (latency/throughput trade-offs).
- Strategic Roadmap: Define the technical roadmap for the 2026 Initiative, ensuring alignment with business goals and industry trends.
- Ethical AI: Implement guardrails and safety protocols to ensure AI deployment is fair, transparent, and free from bias.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 4 years in a lead or senior AI/ML engineering role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with MLOps platforms (e.g., Kubeflow, MLflow) and cloud infrastructure (AWS, GCP, or Azure).
- Specialized Knowledge: Familiarity with Transformer architectures, Reinforcement Learning, and edge computing deployment.
- Leadership: Demonstrated success in leading cross-functional teams and managing complex technical projects from conception to production.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.