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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect | 2026 Roadmap

FutureScale Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are at the precipice of a technological revolution, and FutureScale Inc. is leading the charge into the Year 2026. We are seeking a visionary Senior AI Strategy Architect to design the autonomous systems and intelligent workflows that will define the next decade of work.

In this pivotal role, you will not just build software; you will architect the future. You will work alongside world-class engineers and product strategists to deploy Agentic AI solutions that are capable of complex reasoning, autonomous decision-making, and seamless human-machine collaboration. If you are passionate about the trajectory of AI and want to build the infrastructure for the year 2026, we want to hear from you.

Responsibilities

  • Architect the 2026 Roadmap: Define and drive the technical vision for our flagship AI platform, focusing on autonomous agents and generative workflows.
  • Design Intelligent Systems: Build scalable architectures for Large Language Models (LLMs) and multi-agent systems that operate with minimal human oversight.
  • Optimize Performance: Implement cutting-edge techniques in model compression and edge computing to ensure high-speed inference.
  • Lead R&D: Conduct deep-dive research into emerging AI paradigms to keep FutureScale at the forefront of the industry.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate business requirements into robust technical solutions.
  • Ensure Safety & Ethics: Establish guardrails and ethical constraints for autonomous AI agents to ensure responsible deployment.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a senior architect or lead role.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • AI Expertise: Proven track record of designing and deploying LLM-based applications and Agentic workflows.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative algorithmic solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLMs Agentic AI System Design Machine Learning Cloud Computing AWS Kubernetes

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