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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

The Opportunity:
We are seeking a visionary Senior AI Architect to lead our research into the technological landscape of 2026. At Nexus Future Labs, we don't just predict the future; we build it. You will be at the forefront of defining the architectural standards for next-generation generative AI systems, quantum integration, and autonomous agent workflows. If you thrive in ambiguity and want to leave a lasting legacy in the tech world, this is your chance.


Why Join Us?
Impactful Work: Architect the core infrastructure for projects that will define the industry in 2026.
Top-Tier Talent: Work alongside the brightest minds in AI and Machine Learning.
Future-Proof Career: Stay ahead of the curve with exposure to bleeding-edge technologies.

Responsibilities

  • Design and implement scalable, high-performance AI architectures specifically tailored for the 2026 technological paradigm.
  • Lead the R&D team in evaluating and integrating emerging technologies, including Generative AI, LLMs, and Predictive Analytics.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical roadmaps.
  • Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.
  • Ensure system reliability, security, and scalability across all deployed AI models.
  • Conduct architectural reviews and provide technical leadership during critical project phases.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software architecture, with at least 5 years focused on AI/ML systems.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/Azure/GCP).
  • Proven track record of leading large-scale deployments of Machine Learning models.
  • Strong understanding of data pipelines, MLOps, and cloud-native design patterns.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Cloud Architecture MLOps Generative AI System Design Machine Learning LLMs

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