Job Description
We are seeking a visionary Lead Generative AI Architect to spearhead our roadmap for 2026. Nexus Future Systems is on a mission to redefine human-machine interaction through next-generation artificial intelligence. In this pivotal role, you will not just build models; you will architect the future of enterprise intelligence.
As we approach the 2026 horizon, we are looking for a thought leader who can bridge the gap between theoretical research and scalable production systems. You will be responsible for designing autonomous agents, multimodal AI systems, and ensuring ethical AI frameworks are embedded in our core infrastructure.
Why join us?
- Work with state-of-the-art infrastructure.
- Shape the strategic direction of AI for the next decade.
- Competitive equity and benefits package.
Responsibilities
- Architect Design: Lead the end-to-end design and implementation of complex Generative AI systems, focusing on scalability and performance.
- Strategic Roadmapping: Define the technical roadmap for 2026, integrating emerging technologies like LLMs and Diffusion models.
- Model Optimization: Fine-tune and optimize large-scale models for specific enterprise use cases, reducing latency and improving accuracy.
- Ethical AI Compliance: Establish and enforce governance frameworks to ensure responsible AI deployment and bias mitigation.
- Talent Leadership: Mentor a team of senior ML engineers and data scientists, fostering a culture of innovation.
- Research Integration: Stay ahead of the curve by integrating cutting-edge research into our production environment.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Technical Expertise: Deep understanding of Deep Learning, Neural Networks, and Natural Language Processing (NLP).
- Tooling: Proficiency in PyTorch, TensorFlow, or JAX, with experience in MLOps pipelines (Kubeflow, MLflow).
- Experience: 7+ years of experience in AI/ML, with at least 3 years in a lead or architect role.
- Programming: Strong proficiency in Python and SQL.
- Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.