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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap Lead

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are building the future. Nexus Horizon Technologies is a cutting-edge research firm dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to spearhead our core research division. You will not just write code; you will architect the neural networks and intelligent systems that will redefine human-machine interaction in the coming decade.

In this high-impact role, you will bridge the gap between theoretical artificial intelligence and scalable, real-world applications. If you are passionate about pushing the boundaries of what is possible with Machine Learning and have a knack for leadership, we want to discuss this opportunity with you.

Responsibilities

  • Lead the architectural design and implementation of next-generation AI systems aligned with our 2026 product roadmap.
  • Oversee the migration of legacy data structures into high-dimensional neural networks and predictive models.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into consumer hardware and cloud platforms.
  • Establish industry-leading best practices for model training, validation, and secure deployment pipelines.
  • Drive innovation in Natural Language Processing (NLP) and autonomous decision-making algorithms.
  • Conduct high-level research to identify emerging trends in AI ethics and quantum computing integration.
  • Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • 10+ years of professional experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Proven track record of leading large-scale AI initiatives from concept to production in a fast-paced environment.
  • Strong understanding of data privacy, security, and ethical AI governance principles.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture Distributed Systems NLP Data Science Cloud Computing Leadership

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