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Senior AI/ML Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon is pioneering the next era of artificial intelligence. We are seeking a visionary Senior AI/ML Architect to lead our strategic roadmap for 2026 and beyond. You will define the technical architecture for large-scale generative models, ensuring scalability, safety, and ethical AI implementation. This is not just a job; it is a mission to shape the technological landscape of the future.

Why Join Us?
β€’ Work on cutting-edge LLMs and autonomous agents.
β€’ Competitive equity and benefits package.
β€’ Collaborative environment with industry leaders.
β€’ Focus on long-term impact and innovation.

Responsibilities

  • Design and implement the core architecture for next-generation AI systems targeting deployment in 2026 and beyond.
  • Lead the technical strategy for Large Language Models (LLMs), including training, fine-tuning, and optimization.
  • Oversee MLOps pipelines to ensure high availability, security, and performance of production models.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Establish best practices for ethical AI, bias mitigation, and regulatory compliance.
  • Research emerging AI paradigms to drive product innovation and competitive advantage.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of designing scalable distributed systems and cloud-native applications (AWS, GCP, or Azure).
  • Experience with vector databases, RAG architectures, and LangChain.
  • Strong leadership skills with the ability to mentor junior engineers and drive technical vision.

Required Skills

Python Machine Learning Deep Learning MLOps Cloud Computing (AWS/Azure/GCP) Distributed Systems NLP Generative AI PyTorch TensorFlow System Design Kubernetes Docker

Ready to Take This Challenge?

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