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Lead AI Architect - 2026 Roadmap

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological blueprint for 2026. In this pivotal role, you will bridge the gap between theoretical future tech and practical implementation, leading our engineering team in building quantum-ready artificial intelligence systems. You will be responsible for the architecture of our next-generation platforms, ensuring scalability, security, and ethical AI standards. Join us in shaping the future of intelligent computing.

Responsibilities

  • Strategic Roadmapping: Define and execute the comprehensive AI technology roadmap for 2026, aligning with company long-term goals.
  • System Architecture: Design robust, scalable cloud-native AI architectures capable of integrating quantum computing primitives.
  • Team Leadership: Mentor and lead a high-performing team of AI engineers and data scientists, fostering a culture of innovation.
  • Technical Oversight: Oversee the development lifecycle of core AI models, from proof-of-concept to production deployment.
  • Stakeholder Collaboration: Work closely with C-suite executives and product teams to translate business requirements into technical blueprints.
  • Ethical AI Compliance: Ensure all AI systems adhere to global ethical guidelines, bias mitigation, and data privacy regulations.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 10+ years of experience in software engineering and AI/ML architecture, with at least 5 years in a leadership role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Quantum Proficiency: Familiarity with quantum computing concepts, algorithms, and quantum machine learning libraries.
  • Cloud Mastery: Proven track record architecting solutions on AWS or Azure.
  • Soft Skills: Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Quantum Computing System Architecture TensorFlow AWS Leadership Cloud Computing Data Structures

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