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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect (2026 Roadmap)

Stellar Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026?

Stellar Dynamics is seeking a visionary Senior AI & Future Tech Architect to lead our strategic roadmap. In this role, you won't just build software; you will architect the future of intelligent systems, merging artificial intelligence with quantum-ready infrastructure to prepare our platforms for the year 2026 and beyond.

We are a forward-thinking leader in enterprise AI, looking for a problem solver who thrives in ambiguity and has a passion for ethical, scalable technology. If you want to leave a mark on the future of tech, this is your opportunity.

Why Join Us?

  • Work with cutting-edge technologies in a hybrid environment.
  • Competitive compensation package and equity options.
  • Unlimited PTO and professional development budget.

Responsibilities

  • Lead the 2026 Roadmap: Define and oversee the architectural vision for AI integration, ensuring scalability and robustness for future requirements.
  • Prioritize Innovation: Research and evaluate emerging technologies (e.g., Generative AI, Neuromorphic Computing) to drive product differentiation.
  • System Architecture: Design high-level system architecture that supports complex machine learning models and data pipelines.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of excellence and continuous improvement.
  • Stakeholder Management: Translate complex technical concepts into actionable strategies for executive stakeholders and product teams.
  • Security & Compliance: Implement rigorous security protocols and ethical AI guidelines to protect user data and ensure regulatory compliance.

Qualifications

  • Experience: 8+ years of experience in software architecture, with at least 3 years specializing in AI and Machine Learning infrastructure.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree or PhD is preferred.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
  • Strategic Mindset: Demonstrated ability to think long-term and architect systems that are future-proof.
  • Quantum Awareness: Familiarity with quantum computing concepts and their potential application in AI (a plus).
  • Soft Skills: Exceptional communication skills, with the ability to lead cross-functional teams effectively.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow AWS Quantum Computing Strategic Planning Cloud Infrastructure Data Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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