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Cloud Solutions Architect – AWS Bedrock & Agentic Workflows
Cloud Solutions Architect – AWS Bedrock & Agentic WorkflowsMogi I/O: OTT/Podcast/Short Video Apps for you • San Francisco, CA, United States
Cloud Solutions Architect – AWS Bedrock & Agentic Workflows

Cloud Solutions Architect – AWS Bedrock & Agentic Workflows

Mogi I / O : OTT / Podcast / Short Video Apps for you • San Francisco, CA, United States
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Cloud Solutions Architect – AWS Bedrock & Agentic Workflows

Location : USA – Bay Area, California

Work Type : Full-Time (Hybrid / On-site)

Experience Required : 8–15 Years in Cloud Architecture and AI Systems

Compensation : USD 130,000 – 170,000 Annual

Eligibility : Any Visa (Excluding OPT)

Key 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.

Must-Have Requirements

  • 8–15 years of total IT experience with a 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.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • Must currently reside in the Bay Area, CA.
  • Stable career history — minimum 3 years tenure with past employers.

    • Nice-to‑Have Skills

  • 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.

    • Technical Qualifications

  • Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns.
  • Expertise in CI / CD pipelines, DevOps, and distributed system architecture.
  • Familiarity with data security and compliance within AI ecosystems.
  • Ability to troubleshoot complex distributed applications across AWS services.

    • Seniority Level

    Mid‑Senior level

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