Job Description
The Opportunity: Apex Logic Systems is pioneering the future with Project 2026, a groundbreaking initiative to redefine autonomous decision-making. We are seeking a visionary Lead AI Architect to design the neural blueprints of tomorrow. If you thrive on complex challenges and want to leave a legacy in the evolution of Artificial General Intelligence, this is your stage.
About the Role: You will be the technical architect for our core predictive engine. Your work will directly influence how our systems perceive, learn, and interact with the digital ecosystem. We are not just building software; we are engineering the cognitive layer of the next generation.
Why Join Us?
• Competitive compensation and equity package.
• Access to cutting-edge compute resources and research.
• Collaborative culture that values innovation over convention.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI infrastructure for Project 2026, ensuring fault tolerance and real-time processing capabilities.
- Research Integration: Translate theoretical research papers into production-ready code, optimizing models for edge computing and large-scale cloud deployment.
- Team Mentorship: Lead a team of junior engineers and data scientists, conducting code reviews, architecture discussions, and technical training sessions.
- Stakeholder Management: Act as the primary technical bridge between R&D and product teams, defining technical roadmaps and managing expectations for complex deliverables.
- System Optimization: Continuously monitor and optimize model latency, memory usage, and inference accuracy to meet enterprise-grade standards.
- Security & Compliance: Implement robust security protocols to protect sensitive training data and model weights.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch or TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive elegant, scalable solutions.
- Communication: Exceptional written and verbal communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in fast-paced, agile environments with a focus on rapid iteration and delivery.