Artificial Intelligence Engineer

Senior AWS AI Platform Engineer – Generative AI | RAG | Agentic AI Salary: $110,000 – $130,000 + Benefits I'm currently supporting a leading enterprise organisation as they continue to expand their AI capability with the appointment of a Senior AWS AI Platform Engineer. This is an opportunity to play a key role in designing and delivering enterprise-scale AI solutions, working alongside Cloud Infrastructure, Security, Data Engineering, Enterprise Architecture and Application Development teams to accelerate the adoption of Generative AI across the business. Key Responsibilities Design and implement enterprise-scale Retrieval-Augmented Generation (RAG) solutions. Build AI Agents and multi-agent workflows using AWS native AI services. Develop reusable AI integration patterns and reference architectures. Support the onboarding of business applications onto an enterprise AI platform. Design scalable, secure and resilient cloud-native AI solutions on AWS. Drive AI governance, observability and best practices across multiple AI initiatives. Act as the technical lead across cross-functional engineering teams. Key Technologies AWS: Bedrock, SageMaker, Knowledge Bases, OpenSearch, Lambda, ECS, EKS, API Gateway, CloudFormation, Terraform, EventBridge, IAM, VPC, S3 and related services. AI: RAG, Agentic AI, Vector Databases, Embeddings, Semantic Search, Prompt Engineering, LangChain, LangGraph, LlamaIndex, Bedrock Agents and Guardrails. Development: Python, Java, REST APIs, SQL, NoSQL, Git and CI/CD. What We're Looking For 10+ years' experience in Cloud Engineering, Platform Engineering or Enterprise Architecture. Commercial experience building Generative AI solutions on AWS. Hands-on experience with RAG architectures and AI Agents. Excellent stakeholder management and technical leadership skills. Experience within enterprise or regulated environments is highly desirable. This is an excellent opportunity to join an organisation making significant investment in AI, where you'll have the chance to influence architecture, engineering standards and the future direction of enterprise AI adoption. #J-18808-Ljbffr Henderson Scott