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Lead AI & Machine Learning Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Nexus Future Systems is pioneering the next era of artificial intelligence. As we look toward 2026 and beyond, we are seeking a visionary Lead AI & Machine Learning Architect to spearhead our quantum-ready neural networks. If you are passionate about building the infrastructure that will define the future of tech, this is your chance to lead at the cutting edge.

We are looking for a strategic thinker who can bridge the gap between theoretical AI research and scalable production systems. You will be responsible for designing autonomous agents and generative models that push the boundaries of what is currently possible.

Why join us?

  • Work on high-impact, next-generation projects.
  • Competitive compensation package with equity options.
  • Flexible remote and hybrid work policies.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Architect and implement scalable AI and machine learning pipelines for future-proof applications.
  • Lead the research and development of Generative AI and Large Language Models (LLMs).
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay ahead of industry trends in AI, including quantum computing integration and edge AI.
  • Ensure model robustness, ethical AI practices, and data privacy compliance.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven track record of deploying production-grade ML models.
  • Strong understanding of MLOps, CI/CD, and cloud infrastructure (AWS, GCP, or Azure).
  • Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Data Science Cloud Computing MLOps AI Architecture NLP Generative AI

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