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Senior AI Architect - 2026 Strategic Tech Lead

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of 2026 and Beyond.

FutureCore Systems is at the forefront of the next technological revolution. We are looking for a visionary Senior AI Architect to define the infrastructure and strategic roadmap for our upcoming 2026 product suite. If you are passionate about Generative AI, Quantum-ready architectures, and scalable machine learning systems, this is your opportunity to lead from the front.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms remain at the cutting edge of industry standards.

Responsibilities

  • Lead Architectural Strategy: Design and implement the core AI infrastructure roadmap specifically tailored for the 2026 technological landscape, focusing on scalability and energy efficiency.
  • Model Deployment: Oversee the deployment of large-scale LLMs and generative models, optimizing for latency and throughput in high-traffic environments.
  • Technical Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and rigorous engineering standards.
  • System Optimization: Continuously refine our data pipelines and model training workflows to reduce costs and improve predictive accuracy.
  • Stakeholder Collaboration: Work closely with product managers and C-suite executives to translate business goals into technical roadmaps.
  • R&D Integration: Evaluate emerging technologies (e.g., Neuromorphic computing, Edge AI) and integrate viable solutions into our ecosystem.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 8+ years of experience in software engineering with at least 4 years specifically in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Cloud Mastery: Proven track record of architecting solutions on AWS, Azure, or GCP.
  • Problem Solving: Demonstrated ability to solve complex engineering problems and lead architectural decision-making.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Machine Learning Deep Learning Distributed Systems NLP Generative AI Kubernetes Docker Agile Scrum

Ready to Take This Challenge?

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