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Information Technology 🏒 Full Time ⭐️ Verified

AI Strategy Architect

FutureTech Solutions
Seattle
Estimated Salary
USD 145.000 – USD 195.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you ready to define the technological landscape for 2026 and beyond? FutureTech Solutions is seeking a visionary AI Strategy Architect to lead our charge into the next era of intelligent systems.

In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, real-world implementation. You won't just write code; you will architect the future of human-machine interaction, guiding our teams through the rapid evolution of Generative AI, autonomous agents, and predictive analytics.

We are looking for a thought leader who thrives on ambiguity and possesses the technical acumen to turn complex algorithms into profitable business outcomes.

Responsibilities

  • Define the Vision: Create and communicate a long-term technical roadmap for AI integration, specifically tailored for the 2026 market landscape.
  • Architect Scalability: Design robust, cloud-native AI architectures that can handle high-volume data streams and ensure 99.99% uptime.
  • Evaluate Emerging Tech: Assess cutting-edge AI tools (e.g., LLMs, neural networks) to determine feasibility and strategic value for product development.
  • Executive Leadership: Collaborate with C-suite executives to translate complex technical concepts into actionable business strategies and ROI projections.
  • Team Mentorship: Lead and mentor a diverse team of engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ethical Governance: Establish best practices for ethical AI development, ensuring compliance with global regulations and responsible data governance.

Qualifications

  • Experience: 10+ years of experience in software engineering, system architecture, or data science, with at least 3 years in a leadership or architect role.
  • Education: Master’s degree in Computer Science, Data Science, or a related quantitative field (PhD preferred).
  • Technical Proficiency: Deep understanding of machine learning algorithms, NLP, predictive modeling, and MLOps pipelines.
  • Strategic Mindset: Proven track record of implementing AI solutions in production environments that drive measurable business value.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders and investors.
  • Tools: Expertise in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, Azure, or GCP).

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Python Strategic Planning MLOps NLP Leadership AWS Azure

Ready to Take This Challenge?

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