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Information Technology 🏢 Full Time ⭐️ Verified

AI & Future Tech Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the digital landscape of 2026. We're seeking a visionary AI & Future Tech Strategist to architect cutting-edge solutions that will redefine industries. This role combines deep technical expertise with strategic foresight, requiring you to develop AI roadmaps, anticipate emerging tech disruptions, and lead cross-functional teams in implementing next-generation systems. You'll collaborate with C-suite executives to align tech initiatives with business objectives while ensuring ethical AI governance and scalable infrastructure. If you're passionate about building the future and thrive in fast-paced innovation environments, this is your opportunity to make history.

Responsibilities

  • Architect AI/ML frameworks and automation pipelines for 2026 market readiness
  • Analyze emerging tech trends (quantum computing, neural interfaces, AGI) and develop adoption strategies
  • Lead cross-functional teams in deploying predictive analytics and generative AI solutions
  • Design scalable cloud-native architectures with zero-trust security protocols
  • Create ethical AI governance frameworks and bias mitigation protocols
  • Present tech roadmaps to stakeholders with ROI projections and risk assessments
  • Mentor junior engineers and foster a culture of continuous innovation

Qualifications

  • 10+ years in AI/ML development with 5+ years in strategic tech planning
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record of deploying production-grade AI systems at scale
  • Deep understanding of quantum computing principles and blockchain architectures
  • Certification in AI ethics (e.g., IBM AI Engineering Professional) or equivalent
  • Experience with AWS/Azure/GCP and MLOps tools (Kubeflow, MLflow)
  • Strong background in agile methodologies and DevOps practices
  • MS/PhD in Computer Science, AI, or related field preferred

Required Skills

AI Machine Learning Python TensorFlow Quantum Computing Blockchain Cloud Architecture Strategic Planning Ethics MLOps

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