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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
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technological advancements that will define our roadmap through 2026 and beyond. At Nexus Future Labs, we aren't just building for today; we are architecting the intelligent systems of tomorrow. You will be at the forefront of integrating advanced Agentic AI, Quantum-Ready Machine Learning models, and Ethical AI frameworks.

Join a world-class team of engineers, data scientists, and strategists who are dedicated to pushing the boundaries of what is possible. If you are passionate about creating scalable, secure, and transformative AI solutions, this is your opportunity to lead the charge.

Responsibilities

  • Design and implement scalable, high-performance AI architectures tailored for the 2026 technological landscape.
  • Lead the end-to-end development lifecycle for Large Language Models (LLMs) and Autonomous Agents.
  • Collaborate with cross-functional teams to define product roadmaps and technical standards.
  • Ensure the ethical, transparent, and secure deployment of AI systems in production environments.
  • Conduct deep-dive technical research to identify emerging technologies (e.g., Neuromorphic Computing, Edge AI) that provide competitive advantages.
  • Mentor and coach junior architects and engineers, fostering a culture of innovation and excellence.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Extensive expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of Generative AI, Transformer architectures, and Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Machine Learning Deep Learning Generative AI LLMs Architecture Data Science Cloud Computing

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