Elvis Eckardt Recruitment & Sales Solutions Limited-posted 2 months ago
Full-time • Mid Level
CA

We are seeking an AWS Bedrock Architect with proven experience designing and deploying Generative AI and LLM-based solutions at scale. The ideal candidate will have deep hands-on expertise with AWS Bedrock Agents, serverless architectures, and AI-driven system design using AWS native services. You’ll be responsible for building robust, scalable, and secure AI systems leveraging Bedrock, Lambda, Fargate, API Gateway, and modern RAG (Retrieval-Augmented Generation) architectures.

  • Architect and deploy AI-powered solutions using AWS Bedrock Agents, including action groups, orchestration, and knowledge bases.
  • Design and implement RAG systems integrated with vector databases and semantic search.
  • Build serverless applications leveraging AWS Lambda (Python) and event-driven architecture.
  • Develop and manage REST and WebSocket APIs via AWS API Gateway with custom authorizers.
  • Utilise AWS Fargate for containerised workloads and long-running agent processes.
  • Automate infrastructure provisioning using AWS CDK (TypeScript/Python) and CloudFormation.
  • Manage data persistence across SQL (RDS, Aurora) and NoSQL (DynamoDB) environments.
  • Apply prompt engineering and agent reasoning principles for AI workflow optimisation.
  • Implement CI/CD pipelines for serverless and container deployments.
  • Collaborate cross-functionally to explain and evangelise complex AI architectures.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related technical field.
  • Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
  • Proven expertise in architecting and deploying serverless applications on AWS at scale.
  • Hands-on experience with AWS Bedrock Agents in production environments.
  • Deep understanding of RAG architectures, semantic search, and vector databases.
  • Strong background in AWS CDK/CloudFormation, Lambda, Fargate, and API Gateway.
  • Proficiency in Python and TypeScript.
  • Excellent problem-solving skills and communication abilities.
  • Familiarity with agentic workflows and advanced function-calling models.
  • Experience with AI observability, model evaluation, and performance tuning.
  • Background in distributed systems or cloud-native AI product development.
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