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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Initiative

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on a mission to architect the future of intelligent systems. Nexus 2026 is seeking a visionary Senior AI Architect to lead our research and development in next-generation artificial intelligence.

In this pivotal role, you will define the technical roadmap for our flagship products, ensuring they are scalable, secure, and at the forefront of innovation. You will work alongside world-class engineers and data scientists to solve complex problems that will define the technological landscape of the coming decade.

If you are passionate about pushing the boundaries of what is possible and want to build the infrastructure for the year 2026 and beyond, we invite you to join our elite team.

Responsibilities

  • Lead Architecture: Design and oversee the implementation of scalable machine learning pipelines and neural network architectures.
  • Technical Strategy: Define the technical vision and roadmap for the 2026 product suite, aligning with business goals.
  • Model Optimization: Research and implement cutting-edge techniques to improve model accuracy, speed, and energy efficiency.
  • Cross-Functional Collaboration: Partner with product managers, designers, and backend engineers to integrate AI solutions seamlessly into user experiences.
  • Mentorship: Guide junior engineers and data scientists, conducting code reviews and fostering a culture of technical excellence.
  • R&D: Stay abreast of the latest advancements in AI, Quantum Computing, and Natural Language Processing.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: Minimum of 7 years of experience in software engineering, machine learning, or data science.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Systems: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Deployment: Proven track record of deploying models to production environments at scale.
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning Cloud Architecture Docker Kubernetes

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