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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Technologies Architect

Nexus Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the intelligent infrastructure of tomorrow?

Nexus Horizon Labs is pioneering the evolution of AI in the year 2026 and beyond. We are seeking a visionary Senior AI & Future Technologies Architect to lead our R&D division. If you thrive at the intersection of cutting-edge Generative AI, Agentic workflows, and scalable cloud architecture, this is your opportunity to define the standard for future technology.

Join a team of world-class engineers and data scientists dedicated to solving humanity's most complex challenges through advanced artificial intelligence.

Responsibilities

  • Lead Strategic AI Architecture: Design and oversee the implementation of enterprise-grade AI systems, focusing on Generative AI, Large Language Models (LLMs), and Autonomous Agents.
  • Future-Proofing Solutions: Proactively research and integrate emerging technologies (e.g., Quantum-ready algorithms, Neuro-symbolic AI) to stay ahead of the 2026 tech curve.
  • System Optimization: Engineer high-performance, low-latency machine learning pipelines and data lakes ensuring scalability across distributed cloud environments.
  • Collaborative Innovation: Partner with cross-functional teams—product managers, engineers, and designers—to translate complex technical requirements into elegant, user-centric AI solutions.
  • Model Governance: Establish strict frameworks for AI ethics, bias mitigation, and data privacy compliance to ensure responsible deployment of autonomous systems.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
  • Experience: 7+ years of experience in software engineering, machine learning, or AI architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience fine-tuning proprietary models (e.g., GPT-4, Llama 3).
  • Cloud Mastery: Deep expertise in AWS, Azure, or Google Cloud Platform (GCP) with specific focus on AI/ML services (SageMaker, Vertex AI, etc.).
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Adaptability: Demonstrated ability to work in fast-paced, agile environments and pivot strategies based on rapid technological advancements.

Required Skills

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

Ready to Take This Challenge?

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