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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Solutions Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are seeking a visionary Senior AI Solutions Architect to lead the technical evolution of our enterprise platforms. At Nexus Horizon, we are not just building software; we are architecting the intelligent systems that will define the digital landscape of 2026 and beyond. If you possess a deep understanding of machine learning, cloud infrastructure, and system design, and you thrive in a fast-paced, innovative environment, we want to hear from you.

In this role, you will bridge the gap between complex research concepts and scalable production systems, ensuring our AI solutions are robust, ethical, and transformative.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI/ML infrastructure and systems architecture for next-generation products.
  • Roadmap Strategy: Define the technical roadmap for our 2026 suite of products, aligning AI capabilities with business objectives.
  • Model Optimization: Lead efforts to optimize model performance, reduce latency, and ensure high availability in production environments.
  • Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and stakeholders to translate business requirements into technical solutions.
  • Risk Management: Identify potential technical risks and implement mitigation strategies to ensure project delivery.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Experience: 7+ years of experience in software engineering or data science, with at least 3 years in a senior architect or lead role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks; strong understanding of cloud platforms (AWS, Azure, or GCP).
  • System Design: Demonstrated ability to design complex distributed systems and large-scale machine learning pipelines.
  • Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving ambiguous problems and driving technical innovation.

Required Skills

Python TensorFlow PyTorch AWS Azure System Design Machine Learning Cloud Architecture Data Pipelines

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