Job Description
Join the Architects of Tomorrow.
Nexus Future Systems is seeking a visionary Principal AI Architect to define the technological landscape for the year 2026 and beyond. As we stand on the precipice of a new era in artificial intelligence, we are looking for a leader who doesn't just adapt to change but drives it. You will be responsible for architecting the next generation of agentic AI systems, ensuring our solutions are scalable, ethical, and future-proof.
In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering, setting the standard for AI innovation in the United States.
Responsibilities
- Lead the 2026 AI Roadmap: Define the long-term technical vision for AI infrastructure, focusing on scalability, latency reduction, and next-gen model integration.
- Architect Agentic Workflows: Design complex, multi-agent systems capable of autonomous decision-making and complex problem-solving.
- Ensure Ethical AI Compliance: Implement robust guardrails and safety protocols to ensure AI outputs are fair, transparent, and unbiased.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and stakeholders to translate business requirements into technical blueprints.
- Optimize Performance: Oversee the deployment and optimization of large language models (LLMs) and vector databases for maximum efficiency.
Qualifications
- Advanced Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Deep Learning Expertise: 8+ years of experience in designing and deploying deep learning models at scale.
- Programming Proficiency: Expert-level proficiency in Python, with experience in TensorFlow, PyTorch, or JAX.
- System Architecture: Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
- Future-Forward Mindset: Proven ability to identify and leverage emerging technologies (e.g., Quantum Computing integration, Edge AI) for 2026 readiness.
- Leadership Experience: Demonstrated success in leading engineering teams and managing large-scale technical projects.