Job Description
Join the Architects of Tomorrow.
Nexus Future Systems is pioneering the next generation of autonomous AI systems. We are looking for a visionary AI Architect (2026 Vision) to design the infrastructure that will define the future of machine learning. If you are passionate about pushing the boundaries of Generative AI, Agentic workflows, and Large Language Models, this is your chance to shape the landscape of 2026.
In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will work alongside world-class researchers and engineers to deploy models that not only perform but understand context, ethics, and nuance at a human level.
Why Join Us?
- Work on cutting-edge Agentic AI frameworks.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Architect Scalable ML Pipelines: Design and implement end-to-end machine learning infrastructure capable of handling billions of inference requests with sub-millisecond latency.
- Lead Generative AI Strategy: Define the technical roadmap for integrating Large Language Models (LLMs) into autonomous agent workflows.
- Optimize Model Performance: Conduct rigorous research into model quantization, pruning, and hardware acceleration to maximize efficiency.
- Establish AI Governance: Implement ethical guidelines and safety protocols to ensure responsible AI deployment.
- Mentorship: Lead a team of senior data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Technical Due Diligence: Evaluate emerging AI technologies and frameworks to keep the company at the forefront of the industry.
Qualifications
- Experience: 8+ years of experience in Machine Learning, Deep Learning, or Software Engineering, with at least 3 years in a Lead Architect or Senior Engineer role.
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS, or GCP).
- AI Expertise: Proven track record of working with Transformer architectures, RAG (Retrieval-Augmented Generation), and Vector Databases.
- System Design: Strong ability to design fault-tolerant, scalable systems that support high availability.
- Communication: Exceptional verbal and written communication skills with the ability to translate complex technical concepts for diverse stakeholders.