Job Description
Ready to Define the Future of Intelligence?
Nexus Future Technologies is at the forefront of the 2026 AI revolution. We are building the next generation of autonomous agents, adaptive neural networks, and ethical AI frameworks. We are seeking a visionary Senior AI Architect to lead our core engineering team in designing scalable, resilient, and cutting-edge systems that will power the digital landscape of tomorrow.
In this role, you will bridge the gap between theoretical AI research and production-grade deployment, ensuring our platforms remain ahead of the curve in the rapidly evolving 2026 ecosystem.
Responsibilities
- Architect 2026-Ready AI Systems: Design and implement high-performance neural architectures capable of handling agentic workflows and complex decision-making processes.
- Lead R&D Integration: Spearhead the integration of emerging AI paradigms, including Large Language Models (LLMs) and Transformer optimizations, into our core product suite.
- Optimize Model Performance: Drive initiatives to reduce inference costs and latency while maximizing accuracy and hallucination reduction in dynamic environments.
- Technical Governance: Establish best practices for AI safety, data privacy, and ethical AI usage across the engineering organization.
- Collaborate with Cross-Functional Teams: Partner with product managers, data scientists, and security experts to translate business requirements into robust technical solutions.
- Future-Proof Roadmap: Continuously research and evaluate emerging technologies to ensure our stack remains relevant and competitive for the 2026 timeframe and beyond.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
- Experience: 7+ years of professional experience in software engineering with a strong focus on AI/ML architecture and deployment.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with vector databases (e.g., Pinecone, Milvus).
- System Design: Proven track record of designing scalable distributed systems and microservices architecture.
- Model Optimization: Experience in model quantization, pruning, and deploying models on edge devices or cloud platforms (AWS/GCP/Azure).
- Leadership: Demonstrated ability to mentor junior engineers and lead technical initiatives from conception to delivery.