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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the future of AI-driven solutions for 2026. We're seeking a visionary AI Strategy Engineer to architect next-generation machine learning frameworks that will redefine industry standards. This role offers unparalleled opportunity to work with Fortune 500 partners deploying cutting-edge AI infrastructure in autonomous systems, predictive analytics, and neural network optimization.

As a key member of our Future Tech Division, you'll collaborate with Nobel laureates and Silicon Valley pioneers to translate theoretical AI advancements into scalable commercial applications. Our culture thrives on intellectual curiosity, rapid prototyping, and ethical AI governance. Enjoy comprehensive benefits including equity, unlimited PTO, and a $10,000 annual learning stipend.

Responsibilities

  • Design and implement AI roadmaps for 2026+ product ecosystems
  • Lead cross-functional teams in deploying quantum-optimized ML models
  • Develop ethical AI governance frameworks for autonomous systems
  • Architect federated learning architectures for edge computing
  • Conduct horizon scanning for emerging AI breakthroughs
  • Drive AI commercialization strategy with C-suite stakeholders
  • Present findings at global tech summits and industry symposiums

Qualifications

  • PhD in Machine Learning/AI or equivalent industry experience
  • 5+ years deploying production ML systems at scale
  • Expertise in TensorFlow/PyTorch and quantum computing frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Experience with AI ethics frameworks (EU AI Act, NIST RMF)
  • Strong background in predictive analytics and reinforcement learning
  • Proven ability to translate complex AI concepts for executive audiences

Required Skills

AI Strategy Machine Learning Quantum Computing TensorFlow PyTorch Predictive Analytics Ethics Governance Edge Computing

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