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Information Technology 🏢 Full Time ⭐️ Verified

Project 2026 Lead Architect | San Francisco, CA

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are on the precipice of a technological renaissance. OmniFuture Systems is seeking a visionary Lead Architect to spearhead Project 2026, our most ambitious initiative to redefine the boundaries of artificial intelligence and autonomous systems.

In this high-impact role, you won't just write code; you will architect the future. You will lead a world-class team of engineers, researchers, and strategists to build scalable, secure, and groundbreaking solutions that will set the industry standard for the next decade.

If you are a technical leader with an obsession for excellence and a passion for innovation, we want to hear from you.

Responsibilities

  • Architectural Vision: Define the end-to-end technical strategy for Project 2026, ensuring scalability, security, and performance across all cloud environments.
  • Leadership & Mentorship: Recruit, mentor, and lead a high-performing engineering team, fostering a culture of innovation and continuous improvement.
  • R&D Leadership: Drive research and development efforts to integrate cutting-edge AI and machine learning models into our core infrastructure.
  • Technical Oversight: Make critical architectural decisions and provide technical guidance to resolve complex engineering challenges.
  • Stakeholder Management: Collaborate with product managers, C-suite executives, and external partners to translate business goals into technical roadmaps.
  • Code Quality: Establish and enforce rigorous code quality standards and best practices for the organization.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architecture role.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree or PhD preferred.
  • Technical Stack: Deep expertise in Python, C++, and cloud-native architectures (AWS, GCP, or Azure).
  • AI/ML: Strong understanding of machine learning algorithms, neural networks, and large language models (LLMs).
  • System Design: Proven track record of designing and deploying large-scale distributed systems.
  • Soft Skills: Exceptional communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Required Skills

Python C++ AWS GCP Azure Kubernetes Docker System Design Machine Learning AI Leadership Architecture

Ready to Take This Challenge?

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