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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Visionary Initiative

Nexus Horizon
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Lead AI Architect to spearhead our 2026 strategic technology roadmap. Nexus Horizon is at the forefront of building the next generation of artificial intelligence systems. In this pivotal role, you will define the architectural vision, lead a team of elite engineers, and ensure our solutions are scalable, secure, and future-proof for the demands of the year 2026 and beyond.

If you have a deep passion for machine learning, cloud infrastructure, and strategic innovation, we want you to help us build the future.

Responsibilities

  • Define the 2026 Roadmap: Architect and lead the implementation of long-term AI strategies that align with the company's vision for the coming years.
  • Technical Leadership: Guide a high-performing team of data scientists and software engineers, conducting code reviews and fostering a culture of innovation.
  • System Design: Design complex, scalable AI systems using modern frameworks and cloud-native technologies to handle massive data throughput.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable insights for non-technical stakeholders and product managers.
  • Performance Optimization: Continuously monitor system performance and optimize algorithms to ensure real-time responsiveness.
  • Risk Management: Identify potential technical risks and implement mitigation strategies to ensure project delivery.
  • Research & Development: Stay abreast of the latest advancements in AI and integrate cutting-edge technologies into our core architecture.

Qualifications

  • Experience: Minimum of 8+ years of experience in software engineering, with at least 4 years in a lead architectural role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and large language models (LLMs).
  • Cloud Mastery: Strong proficiency in AWS, Azure, or GCP, with experience designing serverless and microservices architectures.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Leadership: Proven track record of leading cross-functional teams and managing large-scale projects from conception to deployment.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and drive technical decision-making.
  • Communication: Excellent written and verbal communication skills, capable of articulating technical strategies to diverse audiences.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Machine Learning Deep Learning System Architecture Kubernetes Docker Agile Scrum Leadership Cloud Computing

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