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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Lead

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

FutureForge Technologies is seeking a visionary 2026 AI Strategy Lead to spearhead our next-generation artificial intelligence initiatives. Based in the heart of San Francisco, you will be the driving force behind our 2026 product roadmap, integrating cutting-edge LLMs and autonomous systems into our core enterprise offerings. If you are passionate about shaping the future of AI and driving high-impact technological transformation, we want you on our team.

As our 2026 AI Strategy Lead, you will bridge the gap between executive vision and technical execution. You will guide a world-class team of engineers and data scientists to build scalable, ethical, and revolutionary AI solutions that will define our market position in 2026 and beyond.

Responsibilities

  • Lead the end-to-end execution of the 2026 AI product roadmap.
  • Collaborate with C-suite executives to align AI initiatives with overarching business objectives.
  • Architect scalable, secure, and ethical AI infrastructure.
  • Mentor and grow a high-performing team of machine learning engineers and data scientists.
  • Evaluate emerging AI technologies and integrate them seamlessly into our existing tech stack.
  • Ensure full compliance with upcoming 2026 federal and global AI regulations.
  • Drive cross-functional collaboration between product, engineering, and marketing teams.

Qualifications

  • 8+ years of experience in software engineering, with at least 3 years focused on AI/ML strategy.
  • Proven track record of launching enterprise-scale AI products from conception to deployment.
  • Deep technical understanding of Large Language Models (LLMs), neural networks, and MLOps.
  • Strong leadership, mentorship, and cross-functional communication skills.
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and distributed systems.
  • Ability to think critically about the ethical implications and long-term societal impact of AI.

Required Skills

AI Strategy Machine Learning LLMs MLOps Python Cloud Architecture Team Leadership Product Management

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