Full Stack AI Engineer Associate Manager
AI summary of the role
Full Stack AI Engineer Associate Manager role on Accenture's AI & Data team, responsible for designing and integrating production-grade LLM-powered applications for enterprise clients.
What you’ll do
- Design, develop, and integrate full stack applications that leverage LLMs and AI agent frameworks
- Build and maintain secure, scalable APIs and backend services that connect AI capabilities with enterprise systems
- Collaborate with cross-functional stakeholders to deliver high-impact solutions
- Implement DevOps practices to automate deployment, monitoring, and reliability for AI-enabled applications
What you’ll bring
- Master proficiency in Large Language Models, including application integration patterns and optimization considerations
- Expert proficiency in Digital Full Stack Development (front-end and server-side)
- Advanced proficiency in DevOps practices (CI/CD, observability, environment automation, release management)
- Advanced proficiency in Node.js-based front-end development and modern JavaScript/TypeScript practices
Technologies
Large Language Models · Node.js · TypeScript · JavaScript · CI/CD · AI agent frameworks · DevOps · API design · cloud-native · containerized deployments
About Accenture
Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.
Public · 5000+ people
Source and classification
Production engineering · Evidence for this classification:
About the Role Join Accenture’s AI & Data team to build and integrate production-grade applications powered by Large Language Models (LLMs) and enterprise services. In this role, you’ll shape end-to-end solutions—from user experience to APIs and platform operations—helping clients accelerate innovation, improve performance, and scale AI responsibly across the business. Key Responsibilities Design, develop, and integrate full stack applications that leverage LLMs and AI agent frameworks Build and maintain secure, scalable APIs and backend services that connect AI capabilities with enterprise systems Collaborate with cross-functional stakeholders (product, data, engineering, security, and operations) to deliver high-impact solutions Implement DevOps practices to automate deployment, monitoring, and reliability for AI-enabled applications Conduct thorough testing, debugging, andHow jobs are selected
Employer postings · Data from · Sources