Job Description
Are you ready to define the future? Future Systems Inc. is seeking a visionary Senior AI & Data Strategy Architect to lead our 2026 Innovation Initiative. This is not just a job; it is an opportunity to architect the next generation of intelligent systems. Based in the heart of San Francisco, you will work with a world-class team to deploy cutting-edge AI solutions that solve complex global challenges.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable engineering. We are looking for a leader who is not only proficient in current technologies but also has a forward-thinking mindset aligned with the technological landscape of 2026. If you are passionate about pushing the boundaries of what is possible with artificial intelligence, we want to hear from you.
Responsibilities
- Lead the architectural design of our 2026 AI roadmap, focusing on generative models and predictive analytics.
- Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI solutions into core products seamlessly.
- Oversee the migration of legacy systems to cloud-native environments for enhanced scalability and performance.
- Establish best practices for data governance, security, and model deployment (MLOps).
- Stay ahead of emerging technologies, specifically analyzing trends relevant to the 2026 era.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
- Conduct high-level stakeholder presentations to define technical vision and strategy.
Qualifications
- 10+ years of experience in software engineering, with a focus on AI and Machine Learning.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud architectures (AWS/Azure/GCP).
- Proven track record of leading high-impact technical projects from conception to deployment.
- Strong understanding of data structures, algorithms, and software design patterns.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
- Experience in agile methodologies, CI/CD pipelines, and containerization (Docker/Kubernetes).
- Master's degree in Computer Science, AI, or a related technical field.