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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future?

Nexus Horizon Systems is at the forefront of technological evolution, and we are looking for a visionary Senior AI Architect (2026 Vision) to lead our next-generation engineering initiatives. As we look ahead to 2026, we are building the infrastructures that will power the next decade of human-machine interaction.

In this pivotal role, you won't just implement existing models; you will define the architectural blueprints for emerging paradigms such as Agentic AI, Edge Computing, and Quantum-AI hybrid systems. If you thrive in a high-stakes environment and possess a deep understanding of the trajectory of artificial intelligence, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the standard for the industry.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Architect scalable, high-performance AI systems designed to meet the demands of 2026 and beyond.
  • Lead the integration of Generative AI and LLMs into legacy infrastructure, ensuring seamless interoperability.
  • Define and implement data governance strategies to ensure ethical AI development and compliance.
  • Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence.
  • Research and prototype emerging technologies, including quantum computing applications in AI.
  • Collaborate with product leadership to translate complex technical requirements into feasible architectural solutions.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps pipelines.
  • Proven track record of leading large-scale cloud infrastructure projects (AWS, GCP, or Azure).
  • Strong understanding of system design principles, including microservices, distributed systems, and containerization (Kubernetes/Docker).
  • Excellent communication skills, capable of bridging the gap between technical teams and non-technical stakeholders.

Required Skills

Python Machine Learning Artificial Intelligence System Architecture Cloud Computing MLOps TensorFlow PyTorch Kubernetes Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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