Full Stack AI Architect

Job Title: Full-Stack AI Architect Experience: 12+ YearsLocation: San Jose, CA / Raleigh, NC (Onsite or Hybrid) Job Summary We are seeking a highly experienced Full-Stack AI Architect to lead the design and implementation of scalable, enterprise-grade AI solutions. This role requires deep expertise across full-stack application development, AI/ML engineering, cloud platforms, and MLOps. The architect will define technical strategy, guide engineering teams, and ensure the delivery of secure, high-performance, AI-driven systems aligned with business objectives. Key Responsibilities Architect and design end-to-end full-stack AI solutions, from frontend applications to backend services and AI/ML pipelines Define and enforce architectural standards, best practices, and design patterns across full-stack and AI systems Lead the development of scalable, cloud-native AI platforms and microservices Design and implement model deployment strategies, CI/CD pipelines, and MLOps workflows Collaborate with product owners, data scientists, and engineering teams to translate business requirements into technical solutions Optimize data pipelines, model performance, and system scalability for enterprise workloads Provide technical leadership, code reviews, and mentoring to senior engineers Ensure security, compliance, reliability, and performance across AI-enabled applications Required Skills & ExperienceFull-Stack Development Strong expertise in JavaScript / TypeScript Frontend frameworks: React or Angular Backend development using Node.js API design and integration using REST APIs Experience with SQL and NoSQL databases Strong understanding of system design, microservices, and distributed architectures AI / Machine Learning Proficiency in Python Hands-on experience with TensorFlow and/or PyTorch Strong knowledge of Scikit-learn Experience with NLP, Computer Vision, and Predictive Analytics Solid understanding of model training, evaluation, and optimization Cloud & MLOps Hands-on experience with AWS, Azure, or GCP Designing and deploying cloud-native AI solutions Experience with model deployment, scaling, and monitoring Building and maintaining data pipelines for AI/ML workloads Understanding of containerization and orchestration (Docker, Kubernetes – preferred) Core Technical Strengths Strong foundation in algorithms, data structures, and statistics Excellent problem-solving and analytical skills Ability to design highly available, fault-tolerant systems Preferred / Nice to Have Experience building enterprise-scale AI platforms Understanding of AI hardware and infrastructure: GPUs / TPUs CPU, memory, and storage trade-offs I/O and networking considerations Edge / IoT devices for AI workloads Exposure to AI governance, model explainability, and responsible AI practices Experience & Qualifications 12+ years of overall IT experience Proven experience in architect-level roles designing full-stack and AI-driven systems Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Why This Role Work on cutting-edge AI and cloud technologies Lead enterprise-scale architecture decisions High visibility role influencing platform and business outcomes Opportunity to mentor and shape high-performing engineering teams Pay: $70.00 - $75.00 per hour Work Location: In person