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Information Technology 🏢 Full Time ⭐️ Verified

Next-Gen AI Solutions Architect (Project 2026)

FutureForge Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to shape the future? FutureForge Technologies is seeking a visionary AI Solutions Architect to spearhead our ambitious Project 2026 initiative. In this pivotal role, you will design next-generation artificial intelligence systems that will redefine industry standards by 2026. We are looking for a forward-thinking leader who thrives on innovation, scale, and pushing the boundaries of what's possible in machine learning.

As part of our elite engineering team in San Francisco, you will own the architectural roadmap for our flagship AI products. If you are passionate about building tomorrow's technology today, we want you on our team.

Responsibilities

  • Architect and design scalable, high-performance AI/ML pipelines tailored for our 2026 product roadmap.
  • Lead a cross-functional team of data scientists, engineers, and product managers to deliver cutting-edge AI solutions.
  • Evaluate and integrate emerging technologies, including Large Language Models (LLMs) and Generative AI, into our core platform.
  • Establish best practices for MLOps, model deployment, and continuous integration.
  • Collaborate with executive leadership to align technical strategies with overarching business goals for 2026.
  • Ensure all AI architectures comply with strict data security, privacy, and ethical AI guidelines.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software architecture and machine learning engineering.
  • Proven track record of designing and deploying large-scale AI/ML models in production environments.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS, GCP, or Azure).
  • Strong understanding of Generative AI, LLMs, and vector databases.
  • Exceptional problem-solving skills and the ability to translate complex business requirements into scalable technical solutions.
  • Excellent communication skills, capable of articulating technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Generative AI LLMs MLOps System Design Kubernetes

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