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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI & Future Tech Architect to lead our R&D initiatives as we prepare for the technological landscape of 2026. In this pivotal role, you will define the architectural blueprints for next-generation AI systems, integrating advanced machine learning models with scalable cloud infrastructure. You will be responsible for steering our technology roadmap, ensuring our platforms are future-proof, and driving innovation that sets the industry standard for the coming decade.

Why Join Us?
We are a forward-thinking organization dedicated to building the digital infrastructure of tomorrow. You will work with top-tier talent, access cutting-edge tools, and have the autonomy to shape the future of technology.

Responsibilities

  • Design and architect high-availability, scalable AI systems optimized for the demands of 2026.
  • Lead the strategic implementation of emerging technologies, including Generative AI and Predictive Analytics.
  • Collaborate with cross-functional teams to integrate ethical AI frameworks and data governance protocols.
  • Oversee the migration and modernization of legacy systems to cloud-native environments.
  • Conduct technical feasibility studies and evaluate new tech stacks to drive innovation.
  • Mentor a team of senior engineers and foster a culture of technical excellence and continuous learning.
  • Define performance benchmarks and ensure system reliability under high load.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI architecture and machine learning leadership.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in cloud platforms (AWS, Azure, or Google Cloud) and containerization (Docker/Kubernetes).
  • Experience with distributed systems, big data processing (Spark/Hadoop), and real-time analytics.
  • Excellent problem-solving skills and a proven track record of delivering complex technical projects on time.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture AWS Kubernetes Data Science System Design

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