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Senior AI Architect (2026 Focus)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Focus) to lead our next-generation intelligence division. As we prepare for the technological landscape of 2026, you will be at the forefront of integrating quantum-ready machine learning models and autonomous systems into our core infrastructure.

At Nexus Horizon, we don't just build software; we architect the future. You will collaborate with cross-functional teams to define roadmaps for scalable AI solutions, ensuring our platforms remain resilient and ahead of the curve. If you are passionate about the convergence of Generative AI and future-proof architecture, we want to hear from you.

Why Join Us?

  • Work on projects that define the standard for 2026 and beyond.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first policy with a hub in the heart of SF.

Responsibilities

  • Design and deploy scalable AI architectures capable of processing multi-modal data streams for the 2026 era.
  • Lead the migration of legacy systems to next-generation, quantum-compatible cloud infrastructures.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and architectural assessments to ensure system integrity and security.
  • Collaborate with product managers to translate complex technical requirements into actionable technical roadmaps.
  • Stay ahead of industry trends in AI, NLP, and distributed systems.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native technologies (AWS, GCP, Azure).
  • Proven track record of designing systems handling high availability and low-latency requirements.
  • Experience with LLM integration, RAG pipelines, and fine-tuning large models.
  • Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Cloud Architecture TensorFlow AWS Leadership System Design NLP AI

Ready to Take This Challenge?

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