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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Strategic Vision

NeuroFuture Labs
Austin
Estimated Salary
USD 195.000 – USD 275.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? NeuroFuture Labs is seeking a visionary Senior AI Architect to lead our 2026 Strategic Vision. We are pushing the boundaries of Artificial General Intelligence (AGI) and autonomous systems, and we need a technical leader to define the infrastructure that powers the next decade of innovation.

In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment. You will not just build models; you will build the ecosystems that sustain them. If you are obsessed with scalability, ethics in AI, and the future of human-machine interaction, this is your chance to leave a lasting legacy.

Why Join Us?

  • Work on the core infrastructure of the 2026 era.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Lead the architectural design of large-scale AI models, ensuring scalability, latency, and reliability for the 2026 product roadmap.
  • Collaborate with cross-functional teams (Research, Engineering, Product) to translate strategic goals into technical roadmaps.
  • Oversee the deployment of Generative AI solutions, optimizing for cost-efficiency and ethical constraints.
  • Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.
  • Identify emerging AI trends and technologies to maintain NeuroFuture Labs' competitive advantage.
  • Define and implement best practices for data governance and model monitoring.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying LLMs and Large Multi-Modal Models at scale.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and MLOps pipelines.
  • Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow MLOps Distributed Systems Cloud Computing System Design Leadership

Ready to Take This Challenge?

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

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