Home Job Details
Q
Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Quantum Leap Technologies at the forefront of 2026's AI revolution! We're seeking visionary AI Solutions Architects to design and implement next-generation intelligent systems that will redefine industries. As a key member of our innovation team, you'll architect cutting-edge AI solutions while collaborating with Fortune 500 partners to shape the future of technology.

What you'll achieve: Lead end-to-end AI solution design, mentor cross-functional teams, and pioneer breakthrough applications in predictive analytics, autonomous systems, and generative AI. Enjoy comprehensive benefits including equity, unlimited PTO, and a $10k annual learning stipend.

Responsibilities

  • Architect scalable AI/ML solutions using advanced frameworks and cloud platforms
  • Lead technical discovery workshops with enterprise clients to define 2026-ready AI roadmaps
  • Design MLOps pipelines for production-grade AI systems with 99.9% uptime SLAs
  • Mentor junior engineers on ethical AI development and responsible deployment practices
  • Develop proof-of-concepts for emerging AI technologies including quantum computing integration
  • Collaborate with product teams to translate business requirements into technical specifications
  • Present architectural blueprints to C-suite executives and technical stakeholders

Qualifications

  • 10+ years in software architecture with 5+ years specializing in AI/ML solutions
  • Expertise in cloud-native AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
  • Proven track record deploying production ML systems handling >10M daily transactions
  • Strong Python/C++ proficiency with frameworks like TensorFlow, PyTorch, and LangChain
  • Experience with distributed systems, Kubernetes, and serverless architectures
  • PhD in Computer Science/Machine Learning or equivalent industry breakthroughs
  • Certification in AI Ethics (e.g., Google Responsible AI, Microsoft AI-900)
  • Prior experience in regulated industries (healthcare, finance, or autonomous systems)

Required Skills

AI/ML Architecture Cloud Computing (AWS/Azure/GCP) MLOps Python TensorFlow PyTorch Kubernetes Distributed Systems AI Ethics Quantum Computing Generative AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All