Job Description
We are seeking a visionary Senior AI Architect (Class of 2026) to lead the next generation of intelligent systems at Nexus Future Systems. In this pivotal role, you will be responsible for architecting scalable machine learning infrastructures that will define the technological landscape of the coming years.
As a key driver of our innovation strategy, you will bridge the gap between theoretical AI research and practical, high-impact deployment. We are not just building software; we are engineering the future.
Why Join Us?
- Future-Ready Role: Focus on cutting-edge technologies including Generative AI, Quantum Computing interfaces, and Neuromorphic engineering.
- Competitive Compensation: Base salary of $180k - $260k plus equity and performance bonuses.
- Global Impact: Work on projects that will influence the trajectory of global tech by 2026 and beyond.
Responsibilities
- Architect AI Solutions: Design and implement robust, scalable machine learning pipelines and neural network architectures capable of handling petabyte-scale data.
- Lead Technical Strategy: Define the technical roadmap for AI initiatives, ensuring alignment with the company’s 2026 vision and long-term business goals.
- Model Optimization: Drive research into model efficiency, reducing inference latency and computational costs using edge computing and distributed systems.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate complex research into market-ready products.
- Risk Management: Establish governance frameworks for ethical AI, bias mitigation, and data privacy compliance.
- Research Integration: Stay ahead of industry trends, integrating emerging technologies (such as Transformer models and reinforcement learning) into the core stack.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years dedicated to AI/ML architecture and leadership.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- System Design: Deep understanding of system architecture, cloud infrastructure (AWS/Azure/GCP), and containerization technologies.
- Leadership: Proven track record of leading high-performing engineering teams and mentoring junior developers.
- Innovation: Demonstrated ability to think critically about future trends and apply them to current business problems.