Job Description
Are you ready to architect the future of technology?
Apex Future Systems is seeking a visionary Lead AI Architect to define our roadmap for 2026 and beyond. In this pivotal role, you won't just build models; you will shape the strategic direction of our next-generation AI ecosystem. We are looking for a thought leader who can bridge the gap between cutting-edge research and scalable production engineering.
Why join us?
- Impact: Directly influence the core architecture that will power our solutions for the next decade.
- Innovation: Work at the bleeding edge of generative AI and autonomous systems.
- Growth: A competitive salary package and equity options in a high-growth startup.
The Role:
As the Lead AI Architect, you will be responsible for designing the high-level technical strategy and roadmaps for our AI initiatives. You will collaborate with cross-functional teams to translate business requirements into technical architectures, ensuring scalability, security, and performance.
Responsibilities
- Strategic Roadmapping: Define the technical vision and architectural strategy for the 2026 AI product suite, ensuring alignment with long-term business goals.
- System Design: Design and oversee the implementation of complex distributed systems, focusing on large-scale machine learning and deep learning infrastructure.
- Technical Leadership: Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation within the team.
- Model Governance: Establish best practices for model lifecycle management, including training, validation, and ethical deployment of AI models.
- Stakeholder Communication: Translate complex technical concepts for non-technical stakeholders and drive consensus on architectural decisions.
- R&D Integration: Evaluate emerging technologies and frameworks to integrate them into our existing architecture for continuous improvement.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior AI/ML architecture role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Strategic Mindset: Proven track record of defining technical roadmaps and leading large-scale technical transformations.
- Communication: Exceptional ability to communicate complex ideas clearly to diverse audiences.
- Problem Solving: Strong analytical skills with a focus on solving ambiguous problems with innovative solutions.