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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI & Future Tech Architect to lead the development of next-generation intelligent systems for 2026 and beyond. At Nexus Future Labs, we are not just building software; we are architecting the future of human-machine interaction.

In this role, you will spearhead the integration of Generative AI, Large Language Models, and predictive analytics into scalable enterprise solutions. You will work in a fast-paced, high-impact environment where innovation is the currency.

Why Join Us?

  • Work on cutting-edge technologies shaping the landscape of 2026.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Design and implement scalable AI architectures for large-scale data processing and model training.
  • Lead the research and integration of emerging technologies (Generative AI, Edge Computing, Quantum-ready algorithms).
  • Collaborate with cross-functional teams to define product roadmaps and technical strategies.
  • Optimize existing models for speed, accuracy, and energy efficiency.
  • Mentor junior engineers and establish best practices for AI development.
  • Ensure ethical AI implementation and compliance with data privacy regulations.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering with a focus on AI/ML.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade LLMs and NLP solutions.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning MLOps AWS GCP Generative AI LLMs Kubernetes PyTorch TensorFlow System Design

Ready to Take This Challenge?

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