Job Description
We are at the forefront of defining the technological landscape of the year 2026. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead the development of our next-generation Agentic AI systems. In this role, you will bridge the gap between theoretical AI research and scalable production infrastructure, focusing on Generative Models, Multi-Agent Systems, and Ethical AI alignment. You will be instrumental in building the core components that will power our enterprise solutions for the next decade. Join us in shaping the future of intelligent automation.
Responsibilities
- Architect and deploy scalable, high-performance Generative AI and LLM infrastructure.
- Design and implement Multi-Agent Orchestration frameworks to enable autonomous decision-making.
- Optimize model inference latency and reduce computational costs using quantization and distillation techniques.
- Establish best practices for AI safety, bias mitigation, and data governance in production environments.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
- Conduct rigorous testing and evaluation of AI models against benchmarks relevant to the 2026 tech landscape.
- Mentor junior engineers and conduct code reviews to ensure architectural integrity.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tooling (MLflow, Kubeflow).
- Proven track record of deploying Large Language Models (LLMs) or Generative Adversarial Networks (GANs) in production.
- Strong understanding of vector databases, RAG architectures, and fine-tuning methodologies.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.