**Introduction** An accomplished technologist with deep expertise in AI, enterprise architecture, and full stack software development. This individual has built intelligent, scalable platforms that integrate advanced machine learning with enterprise systems. Their background spans both applied AI and complex system design, making them highly effective at bridging research and production environments. **Your role and responsibilities** o Architect end-to-end AI-driven applications that integrate LLMs, RAG pipelines, and cloud-native full-stack components. o Lead engineering design sessions and define technical strategies, solution blueprints, and roadmaps. o Manage and mentor a team of engineers, providing technical guidance, career support, and code/architecture reviews. o Collaborate closely with stakeholders (product, design, business) to align technology with business objectives. o Oversee model lifecycle workflows — from development and fine-tuning to deployment, monitoring, and retraining. o Ensure best practices around API design, microservices architecture, and integration patterns. o Guide cloud deployment strategies across AWS/GCP including data services, orchestration, and security. o Establish platform-wide observability practices using tools like Grafana, Prometheus, and ELK stack. o Drive DevOps maturity by improving CI/CD pipelines, Infrastructure-as-Code practices, and automation standards. o Present technical solutions and architecture proposals to leadership and non-technical stakeholders. o Evaluate and introduce new technologies or methodologies (e.g., LangChain, vector databases) based on business needs. o Ensure compliance with regulatory standards while maintaining innovation velocity. This job can be performed from anywhere in the US. **Required technical and professional expertise** o 8+ years of software engineering experience, with at least 3 years in AI/ML-centric product development. o Proven track record architecting full-stack, cloud-native solutions in a production environment. o Deep understanding of transformer models, LangChain, Hugging Face, and RAG pipelines. o Strong backend skills (Java, Python, Node.js) and frontend capabilities (React, TypeScript). o Experience leading technical teams and mentoring engineers. o Expertise in Kubernetes, OpenShift, and CI/CD tooling (GitHub Actions, Jenkins, Tekton). o Strong communication skills and experience engaging with senior leadership and cross-functional teams. o Comfortable in regulated industries and balancing innovation with compliance. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.