Job Description
We are seeking a visionary Senior AI Strategy Architect to define the technological landscape for 2026 and beyond. At Nexus Future Systems, we are not just adapting to the future; we are building it. You will lead the charge in integrating cutting-edge Artificial Intelligence into our core infrastructure, ensuring we remain at the forefront of industry innovation.
Role Overview:
As a key strategic leader, you will bridge the gap between high-level business objectives and complex technical execution. Your role is critical in sculpting our 2026 roadmap, identifying emerging AI paradigms, and architecting scalable solutions that drive sustainable growth.
What You'll Do:
Lead the architectural vision for next-generation AI systems, ensuring alignment with our 2026 strategic goals.
Collaborate with executive leadership to translate business needs into robust technical roadmaps.
Oversee the implementation of Machine Learning and Deep Learning pipelines.
Drive innovation by evaluating new technologies and frameworks before deployment.
Mentor a team of world-class engineers and data scientists.
Why Apply:
Competitive compensation package and equity opportunities.
Flexible remote-first culture with premium office amenities in SF.
Access to the latest hardware and research resources.
Responsibilities
- Strategic Planning: Define and execute the comprehensive AI strategy for the 2026 fiscal year and beyond.
- System Architecture: Design scalable, secure, and high-performance AI architectures using modern cloud technologies.
- Technical Leadership: Provide hands-on guidance on complex ML model development and data engineering challenges.
- Innovation: Research and prototype emerging technologies (e.g., Generative AI, Neural Networks) to maintain a competitive edge.
- Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Team Development: Foster a culture of continuous learning and technical excellence within the engineering department.
Qualifications
- Education: Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture or strategic technical leadership.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Strategic Mindset: Demonstrated ability to think long-term and translate abstract business goals into concrete technical roadmaps.
- Communication: Exceptional verbal and written communication skills with the ability to influence cross-functional teams.
- Problem Solving: Proven track record of solving complex technical problems in large-scale environments.