Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect

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

Job Description

We are looking for a visionary Senior AI Strategy Architect to lead our initiative into the next generation of artificial intelligence. At Nexus Innovations, we don't just predict the future; we engineer it. By 2026, we aim to redefine the landscape of machine learning and generative AI applications. If you possess a deep understanding of neural architectures and a strategic mindset to scale them, we want to hear from you.

In this role, you will be the bridge between theoretical research and scalable production systems. You will architect the core AI infrastructure that powers our next-generation products, ensuring they are not only cutting-edge but also responsible and efficient. Join a team of elite engineers and data scientists pushing the boundaries of what is possible.

Responsibilities

  • Define and execute the long-term AI strategy and architectural roadmap aligned with company goals.
  • Design scalable, fault-tolerant machine learning systems capable of handling high-volume data streams.
  • Lead the research and development of advanced deep learning models, focusing on NLP, Computer Vision, and Generative AI.
  • Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional teams to integrate AI solutions seamlessly into existing product ecosystems.
  • Stay ahead of industry trends, evaluating new technologies to ensure our stack remains competitive by 2026.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of designing and deploying large-scale machine learning models in production environments.
  • Strong understanding of MLOps, cloud architecture (AWS/GCP/Azure), and data pipeline management.
  • Exceptional leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch AI Strategy NLP Computer Vision MLOps Cloud Architecture Distributed Systems

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All