Job Description
Are you ready to define the future of technology?
Nexus Horizon Solutions is seeking a visionary Senior AI Architect to lead the development of next-generation intelligent systems. As we look toward the pivotal year of 2026, we need a pioneer who can bridge the gap between theoretical AI advancements and scalable, production-ready infrastructure.
In this high-impact role, you will architect the core systems that will power our enterprise clients through the next era of digital transformation. You will work in a fast-paced environment with top-tier talent, focusing on Generative AI, Large Language Models (LLMs), and autonomous agent frameworks.
Why Join Us?
- Impactful Work: Build the infrastructure that will define the technology landscape of 2026 and beyond.
- Competitive Package: $180k - $260k base salary plus equity and performance bonuses.
- Flexible Environment: Hybrid work model with a focus on innovation and collaboration.
If you are passionate about pushing the boundaries of what's possible with Artificial Intelligence, we want to hear from you.
Responsibilities
- Design and implement scalable, high-performance AI architectures for large-scale enterprise applications.
- Lead the research and integration of cutting-edge LLMs and Generative AI models to enhance product capabilities.
- Collaborate with cross-functional teams (Data Science, Engineering, Product) to translate business requirements into technical AI solutions.
- Establish best practices for data privacy, model governance, and ethical AI deployment.
- Conduct code reviews and mentor junior engineers and data scientists on AI architecture patterns.
- Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 tech horizon.
- Optimize existing models for speed, accuracy, and cost-efficiency in cloud environments.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7+ years of experience in software engineering with a focus on AI/ML infrastructure.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
- Proven track record of designing and deploying end-to-end AI solutions in production environments.
- Strong understanding of MLOps, data pipelines, and containerization technologies (Docker, Kubernetes).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with Agentic AI workflows and Multi-Agent systems is a significant plus.