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Senior AI Architect: Shaping the 2026 Tech Roadmap | Austin, TX

Nexus Future Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research division. We are building the infrastructure that will power the next decade of digital innovation, and we need a leader who can translate complex data into actionable strategies for the future.

In this role, you will be at the forefront of developing next-generation AI systems, ensuring scalability, security, and performance. You will work directly with C-level executives to align our technical roadmap with market trends. If you are passionate about the future of technology and want to leave a lasting legacy in the AI space, we want to hear from you.

Why Join Us?

  • Competitive base salary and equity package.
  • Flexible remote-first policy with co-working stipends.
  • Comprehensive health, dental, and vision coverage.
  • Annual learning and development budget.

Responsibilities

  • Strategic Roadmap Planning: Define and execute the technical roadmap for AI infrastructure leading up to the 2026 deployment phase.
  • Model Architecture: Design and deploy scalable machine learning models, specifically focusing on Large Language Models (LLMs) and predictive analytics.
  • System Optimization: Lead initiatives to optimize existing algorithms for speed, accuracy, and cost-efficiency in high-volume environments.
  • Cross-Functional Collaboration: Partner with product management and engineering teams to integrate AI solutions into core business applications seamlessly.
  • Mentorship: Mentor a team of junior data scientists and AI engineers, fostering a culture of continuous learning and innovation.
  • R&D Leadership: Stay ahead of industry trends to identify emerging technologies (e.g., Quantum AI, Neuromorphic computing) relevant to the 2026 horizon.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field.
  • Experience: Minimum of 7+ years of experience in AI/ML engineering, with at least 2 years in a senior leadership or architect role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and SQL. Experience with cloud platforms (AWS, Azure, or GCP) is mandatory.
  • Strategic Vision: Proven track record of defining technical roadmaps and delivering large-scale AI projects on time and within budget.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Strong analytical skills with a focus on data-driven decision-making.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture Cloud Computing SQL Data Engineering Strategic Planning MLOps

Ready to Take This Challenge?

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