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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI Architect

Horizon Innovations
Austin
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future? Horizon Innovations is seeking a visionary Future Tech Lead: AI Architect to define our technology roadmap for 2026 and beyond. In this role, you will spearhead the development of next-generation AI systems that redefine industry standards.

We are not just building software; we are shaping the trajectory of human-computer interaction for the next decade. If you are passionate about pushing the boundaries of what's possible with Artificial Intelligence and Generative Models, we want to hear from you.

Responsibilities

  • Define the 2026 AI Roadmap: Collaborate with stakeholders to establish long-term technical goals and strategic initiatives for emerging AI technologies.
  • Design Scalable Architectures: Lead the design and implementation of robust, scalable AI infrastructure capable of handling enterprise-grade workloads.
  • Pioneer New Technologies: Research and prototype novel algorithms in NLP, Computer Vision, and Autonomous Agents to stay ahead of the competition.
  • Optimize Model Performance: Drive the optimization of inference speeds and resource efficiency for deployed machine learning models.
  • Build a High-Performance Team: Mentor senior engineers and foster a culture of innovation, continuous learning, and technical excellence within the engineering department.
  • Bridge the Gap: Translate complex technical concepts into clear business value for executive leadership and non-technical teams.

Qualifications

  • Experience: 7+ years of experience in software engineering with a strong focus on Artificial Intelligence and Machine Learning.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and modern data processing frameworks (Spark, Kafka).
  • Strategic Mindset: Proven track record of defining technical roadmaps and leading cross-functional teams through complex architectural decisions.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • Problem Solving: Exceptional ability to solve ambiguous problems with innovative technical solutions.
  • Leadership: Demonstrated experience in managing and mentoring engineering teams in a fast-paced startup or high-growth environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Architecture Cloud Computing AWS Leadership Roadmap Planning

Ready to Take This Challenge?

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