Note: The job is a remote job and is open to candidates in USA. Mogi I/O is a leading global technology and consulting firm seeking an Enterprise Architect specializing in Generative AI on AWS. The role involves designing, implementing, and scaling Generative AI architectures leveraging AWS Bedrock, while guiding development teams in deploying robust AI workloads.
Responsibilities
- Architect and implement scalable Generative AI and RAG (Retrieval-Augmented Generation) systems on AWS Bedrock.
- Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns.
- Develop and optimize AWS Lambda functions (Python) for event-driven and agentic workloads.
- Design and secure AWS API Gateway integrations for REST and WebSocket APIs.
- Deploy and manage AWS Fargate for containerized and long-running AI processes.
- Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation.
- Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases.
- Manage RDS, Aurora, and DynamoDB for AI system data storage.
- Apply advanced prompt engineering, function calling, and agent reasoning strategies.
- Build and maintain CI/CD pipelines for serverless and container-based deployments.
- Collaborate with cross-functional teams to ensure security, scalability, and cost optimization of AI workloads.
- Present technical architectures and concepts to both technical and business stakeholders.
Skills
- 8–15 years of total IT experience with strong focus on cloud and AI architecture.
- Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
- Proven experience architecting and deploying serverless applications on AWS at scale.
- Hands-on experience with AWS Bedrock Agents in production environments.
- Strong knowledge of RAG architectures and agentic workflow design.
- Proficiency in AWS Lambda (Python) and AWS API Gateway.
- Experience with AWS Fargate, CDK, and CloudFormation for multi-service environments.
- Expertise in vector databases and semantic search implementations.
- Must currently reside in the Bay Area, CA.
- Stable career history — minimum 3 years tenure with past employers.
- Experience with AI orchestration frameworks or LLM toolchains.
- Familiarity with LangChain, LlamaIndex, or similar frameworks.
- Knowledge of AWS SageMaker, Step Functions, and EventBridge.
- Experience deploying multi-agent systems using Bedrock or custom orchestration layers.
- Strong presentation and documentation skills for executive-level communication.
Education Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Company Overview
- Mogi I/O is next generation, scalable and cost-effective delivery solution that enables online video providers (image optimization) to profit from their content by a superior video/image experience to billions It was founded in 2018, and is headquartered in New Delhi, Delhi, IND, with a workforce of 11-50 employees. Its website is https://mogiio.com/.
Tags & focus areas
Used for matching and alerts on DevFound Remote Ai Architecture Aws Typescript Langchain Llamaindex Python Fulltime