Job Description
Are you ready to shape the technological landscape of tomorrow? Nexus AI Solutions is looking for a visionary Senior AI Architect (2026 Vision) to lead our engineering division in defining the next generation of artificial intelligence infrastructure.
In this pivotal role, you will not just follow trends; you will set them. We are building the core systems that will define the industry standard for the 2026 era, focusing on scalability, ethical AI, and generative capabilities. If you have a passion for pushing the boundaries of what is possible with Large Language Models and autonomous systems, we want to hear from you.
Why Join Us?
- Future-Proof Technology: Work on cutting-edge AI models that will define the market in 2026.
- Competitive Compensation: Base salary plus performance bonuses.
- Remote-First Culture: Flexible work arrangements across the US.
Join us in building the intelligent systems of the future.
Responsibilities
- Architect and design scalable, fault-tolerant AI and machine learning systems aligned with the 2026 roadmap.
- Lead the integration and optimization of Generative AI models and Large Language Models (LLMs) into production environments.
- Define technical standards and best practices for AI development, ensuring high code quality and security.
- Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
- Mentor and lead a team of junior engineers and data scientists, fostering a culture of innovation.
- Monitor model performance and implement continuous improvement strategies for inference efficiency.
Qualifications
- 8+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong background in MLOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure).
- Experience designing and deploying LLMs for real-world applications.
- Excellent problem-solving skills and ability to navigate ambiguity in fast-paced environments.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Mathematics, or a related technical field is preferred.