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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Strategic Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect to define the technical trajectory for our 2026 initiatives. At Nexus Future Systems, we are not just building software; we are engineering the future of autonomous intelligence. If you have a passion for pushing the boundaries of what is possible in machine learning and distributed systems, we want you on our team.

In this role, you will be the primary architect responsible for the end-to-end AI strategy that will define our product roadmap for the year 2026 and beyond. You will bridge the gap between theoretical research and production-grade engineering, ensuring our systems are scalable, ethical, and revolutionary.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI infrastructure and microservices architecture aligned with our 2026 strategic goals.
  • Roadmap Definition: Define the technical vision and roadmap for next-generation AI models, including generative AI and predictive analytics.
  • Model Optimization: Lead the optimization of large-scale neural networks, focusing on latency reduction, memory efficiency, and throughput improvements.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and security engineers to translate business requirements into technical solutions.
  • Technical Mentorship: Mentor a team of senior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Ethical AI Compliance: Ensure all AI deployments adhere to ethical guidelines, data privacy regulations, and bias mitigation standards.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering with a focus on AI/ML, including at least 3 years in a leadership or architectural role.
  • Technical Skills: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • System Design: Proven track record of designing high-availability, fault-tolerant systems capable of handling petabyte-scale data.
  • Leadership: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Future-Ready Mindset: Passion for emerging technologies and a demonstrated ability to adapt to rapidly evolving tech landscapes.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Kubernetes System Design Cloud Architecture Leadership

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