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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Strategy

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our technological roadmap for the year 2026. As a pivotal player in our organization, you will define the intersection of advanced artificial intelligence and enterprise scalability.

In this role, you won't just follow trends; you will set them. We are looking for a leader who thrives on ambiguity and possesses the technical prowess to turn complex futuristic concepts into robust, production-ready solutions.

Join us in Austin, TX, and help build the digital infrastructure of tomorrow.

Responsibilities

  • Define and execute the comprehensive technical roadmap for 2026, prioritizing Generative AI and Autonomous Systems integration.
  • Lead a high-performing engineering team in designing scalable, secure, and high-availability cloud architectures.
  • Collaborate closely with product stakeholders to translate business objectives into actionable technical strategies.
  • Drive innovation by researching and evaluating emerging technologies to ensure our solutions remain at the cutting edge.
  • Mentor junior developers and senior engineers alike, fostering a culture of continuous learning and technical excellence.
  • Oversee critical architectural decisions, ensuring compliance with industry standards and regulatory requirements.
  • Present complex technical concepts to executive leadership and non-technical audiences clearly and persuasively.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field (PhD preferred).
  • Minimum of 10 years of experience in software architecture, with at least 5 years specifically focused on AI/ML systems.
  • Proven track record of leading technical teams through large-scale digital transformation projects.
  • Deep proficiency in Python, TensorFlow, PyTorch, or other modern ML frameworks.
  • Extensive experience with cloud infrastructure providers (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of system design patterns, distributed systems, and data privacy regulations.
  • Exceptional problem-solving skills with the ability to operate effectively in fast-paced, agile environments.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Kubernetes AWS Leadership Strategy Data Privacy

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