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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Future Tech Architect (2026 Vision)

Nexus Horizon Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence in 2026

Nexus Horizon Solutions is on a mission to redefine the technological landscape. We are seeking a visionary Lead AI & Future Tech Architect to spearhead our upcoming strategic initiatives. In this high-impact role, you will bridge the gap between theoretical innovation and practical application, building the foundational architectures that will power our products for the next decade.

As we look toward 2026, we need a thought leader who isn't just comfortable with today's tools but is actively prototyping the technologies of tomorrow. You will work at the intersection of Generative AI, Quantum Readiness, and Sustainable Computing.

Why Join Us?

  • Work on cutting-edge projects that have a global impact.
  • Competitive compensation package with performance bonuses.
  • Flexible remote/hybrid work environment in the heart of Austin.
  • Access to state-of-the-art research facilities and AI hardware.

Responsibilities

  • Strategic Roadmapping: Define and execute the technical vision for AI integration in 2026, aligning product goals with long-term research objectives.
  • Architecture Design: Design scalable, fault-tolerant, and secure AI architectures capable of handling next-generation workloads.
  • Leadership & Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • R&D Leadership: Identify emerging technologies (e.g., Neuromorphic computing, Advanced LLMs) and prototype viable solutions.
  • Cross-Functional Collaboration: Partner with product managers, designers, and business stakeholders to translate complex technical concepts into actionable roadmaps.
  • Performance Optimization: Oversee the optimization of AI models for speed, accuracy, and energy efficiency.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent extensive experience).
  • Experience: 10+ years of experience in software engineering and AI/ML, with at least 5 years in a senior or leadership role.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with Large Language Models (LLMs) and Generative AI is highly preferred.
  • System Design: Proven track record of designing distributed systems and cloud-native applications (AWS, GCP, or Azure).
  • Visionary Mindset: Ability to anticipate industry trends and translate them into technical strategy.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow AWS Azure System Architecture Leadership Generative AI Deep Learning Quantum Computing

Ready to Take This Challenge?

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

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