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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Solutions Architect - 2026 Initiatives

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to shape the future? At FutureForge Technologies, we are looking for a visionary Principal AI Solutions Architect to spearhead our 2026 technology roadmap. In this high-impact role, you will bridge the gap between cutting-edge AI research and scalable enterprise solutions, ensuring our infrastructure is primed for the next generation of intelligent applications.

If you are passionate about building tomorrow's tech today and want to lead a world-class engineering team in the heart of San Francisco, we want to hear from you.

Responsibilities

  • Architect and design scalable, next-generation AI and machine learning infrastructure aligned with our 2026 strategic goals.
  • Lead cross-functional engineering teams to transition R&D prototypes into robust, production-ready enterprise systems.
  • Define and execute the technical vision for Large Language Model (LLM) integration and agentic workflows.
  • Collaborate with executive leadership to forecast technology trends and align development milestones.
  • Establish best practices for MLOps, cloud security, and data governance across the organization.
  • Mentor senior engineers and architects, fostering a culture of continuous learning and technical excellence.
  • Evaluate and integrate emerging open-source and proprietary AI frameworks to maintain our competitive edge.

Qualifications

  • 10+ years of experience in software architecture, with at least 4 years focused on AI/ML systems.
  • Deep expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
  • Proven track record of designing and deploying large-scale LLM and GenAI solutions.
  • Strong programming skills in Python, Rust, or Go.
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Experience leading high-performing, distributed engineering teams.

Required Skills

AI Architecture MLOps Python Kubernetes Large Language Models (LLMs) Cloud Infrastructure Strategic Planning System Design

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