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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are building the infrastructure for the future, and we are looking for a visionary Senior AI Architect to lead our strategic roadmap toward 2026. In this pivotal role, you will define the technical vision for next-generation generative AI systems, ensuring our solutions are scalable, secure, and ahead of the curve.

At Nexus Future Labs, we don't just predict trends; we engineer them. You will work at the intersection of deep learning, cloud infrastructure, and human-centric design to create AI agents that redefine productivity.

Why join us?

  • Work on groundbreaking projects that will define the industry in 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a premium office in San Francisco.

Responsibilities

  • Architect and design scalable, high-performance ML pipelines for generative AI and large language models (LLMs).
  • Lead technical strategy sessions to align AI roadmaps with long-term business goals.
  • Oversee the deployment of MLOps infrastructure, ensuring continuous integration and delivery (CI/CD).
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to establish ethical AI standards and compliance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Research emerging technologies to evaluate their potential for integration into our core products.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
  • Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of designing systems that handle high-scale data throughput.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience with prompt engineering and fine-tuning LLMs.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture MLOps Deep Learning Generative AI TensorFlow AWS GCP Docker Kubernetes Leadership

Ready to Take This Challenge?

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