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Senior AI Architect (2026 Roadmap)

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? FutureCore Systems is on the hunt for a visionary Senior AI Architect to lead our 2026 strategic roadmap. We are building the next generation of autonomous agents and predictive ecosystems, and we need a thought leader who can bridge the gap between theoretical AI and scalable production infrastructure.

In this role, you will define the technical vision for our flagship product line, ensuring our AI models are not only state-of-the-art but also ethically grounded and future-proof. If you thrive in high-stakes environments and want to leave a legacy in the AI landscape of 2026, we want to hear from you.

Why join us?

  • Work with a world-class team pushing the boundaries of Generative AI.
  • Competitive equity and salary package.
  • Flexible remote-first culture with a San Francisco HQ.

Responsibilities

  • Architect the 2026 Roadmap: Lead the technical strategy for our AI evolution, defining key milestones and architectural decisions for the next 3-5 years.
  • System Design: Design and implement scalable, fault-tolerant ML infrastructure capable of handling petabyte-scale data streams.
  • Model Optimization: Oversee the training and fine-tuning of Large Language Models (LLMs) to ensure high accuracy and low latency.
  • R&D Leadership: Spearhead research initiatives into emerging AI paradigms, including multi-modal learning and edge AI.
  • Code Review & Mentorship: Establish rigorous engineering standards and mentor junior architects and data scientists.
  • Cross-Functional Collaboration: Partner with product and design teams to translate complex AI capabilities into user-centric features.

Qualifications

  • Experience: 8+ years of experience in software engineering, with a minimum of 5 years specifically in AI/ML architecture.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • Strategic Mindset: Proven track record of defining and executing long-term technical roadmaps.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Deep understanding of algorithms, data structures, and optimization techniques.

Required Skills

Python Machine Learning TensorFlow PyTorch Kubernetes Docker System Architecture AI Strategy NLP Cloud Computing

Ready to Take This Challenge?

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