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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to build the future? At FutureForge Technologies, we are looking for visionary thinkers to join our 2026 AI Solutions Architecture team. As a forward-looking tech leader, you will architect next-generation artificial intelligence systems that will define our industry landscape through 2026 and beyond.

We offer a premium, collaborative environment where cutting-edge ideas are nurtured. If you are passionate about shaping the future of AI, machine learning, and cloud infrastructure, this is your opportunity to make a monumental impact.

Responsibilities

  • Architect and design scalable, secure, and robust AI/ML infrastructure for 2026 enterprise initiatives.
  • Collaborate with cross-functional engineering teams to integrate advanced LLMs and predictive models into core products.
  • Lead the technical strategy for cloud-native deployments, optimizing for performance and cost-efficiency.
  • Evaluate emerging technologies and frameworks to ensure our tech stack remains at the industry's bleeding edge.
  • Establish best practices for AI governance, data security, and ethical machine learning.
  • Provide technical mentorship to senior engineers and data scientists.
  • Present architectural blueprints and strategic roadmaps to executive stakeholders.

Qualifications

  • 8+ years of experience in software architecture, cloud engineering, or data science.
  • Proven track record of designing and deploying large-scale AI/ML models in production environments.
  • Deep expertise in Python, Kubernetes, and major cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of Large Language Models (LLMs), neural networks, and MLOps.
  • Exceptional problem-solving skills and the ability to translate complex business requirements into technical solutions.
  • Excellent verbal and written communication skills, capable of bridging technical and business domains.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

AI Architecture Python Kubernetes LLM Integration MLOps Cloud Infrastructure Strategic Planning Data Security

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