Job Description
Shape the Future of Intelligence
FutureCore Technologies is at the forefront of defining the technological landscape for 2026 and beyond. We are building the next generation of adaptive AI systems that will redefine human-computer interaction. We are seeking a visionary Lead AI Architect to spearhead our strategic roadmap and infrastructure design.
In this role, you won't just maintain systems; you will architect the very foundation of our future products. You will work alongside world-class researchers and engineers to solve complex problems in scalable machine learning and predictive analytics.
Why Join Us?
FutureCore Technologies is at the forefront of defining the technological landscape for 2026 and beyond. We are building the next generation of adaptive AI systems that will redefine human-computer interaction. We are seeking a visionary Lead AI Architect to spearhead our strategic roadmap and infrastructure design.
In this role, you won't just maintain systems; you will architect the very foundation of our future products. You will work alongside world-class researchers and engineers to solve complex problems in scalable machine learning and predictive analytics.
Why Join Us?
- Work on high-impact projects with a direct impact on the 2026 roadmap.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in Austin.
- Access to cutting-edge hardware and research labs.
Responsibilities
- Lead the architectural design and implementation of scalable AI/ML infrastructure tailored for 2026 standards.
- Define and drive the technical vision for the company's AI roadmap, ensuring alignment with business goals.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI solutions into core products.
- Oversee the selection and deployment of state-of-the-art machine learning frameworks and hardware accelerators.
- Conduct deep-dive technical reviews and code audits to ensure system integrity and performance.
- Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering and at least 5 years in AI/ML architecture.
- Proven experience leading large-scale machine learning projects and defining technical roadmaps.
- Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Strong understanding of ethical AI principles, bias mitigation, and regulatory compliance.