Job description

Principal AI Engineering Manager within the AI, Insights & Solutions team in the Technology & Engineering function responsible for leading strategy, architecture, development, and deployment of AI-driven and software engineering solutions for enterprise clients across industries. The role operates within a multidisciplinary environment including analytics, engineering, product management, and design teams to develop human-centric, data-driven solutions leveraging artificial intelligence and advanced analytics. Responsibilities include shaping client solutions by translating business problems into product visions, prioritized backlogs, and engineering roadmaps while leading end-to-end client solution development from strategy ideation through architecture, engineering execution, deployment, adoption, and change enablement. The role requires leading cross-functional teams of designers, engineers, data scientists, and consultants while guiding clients on architecture modernization, microservices, platform strategy, engineering operating models, security, CI/CD, and engineering best practices. The position involves building production-grade, enterprise-scale AI applications, designing APIs using FastAPI, Node.js/Express, Flask, Django, .NET Core, or Java Spring Boot, and implementing scalable distributed systems using cloud platforms including AWS, Azure, and GCP with infrastructure-as-code technologies such as Terraform, CloudFormation, and Bicep. The role requires hands-on expertise in containerization and orchestration using Docker and Kubernetes, modern AI/ML development including LLM APIs, prompt engineering, RAG pipelines, and agentic SDKs, as well as modern web technologies including React, Angular, Vue.js, TypeScript, HTML5, and CSS3. The position also includes defining engineering best practices across software lifecycle phases including automated testing, performance profiling, CI/CD, observability, and resilient system design. The Principal AI Engineering Manager is responsible for coaching engineers across frontend, backend, platform, DevOps, and AI disciplines, leading recruitment and onboarding, acting as professional development advisor, and collaborating with senior leadership to drive talent development and transformation initiatives while supporting regional travel for client engagements.