AWS GenAI Solutions Architect

Our client is a high-end Management Consulting firm and a major AWS partner. We are looking to hire on a Full-Time basis an AWS GenAI / Solutions Architect.

• Strong hands-on experience with Amazon Bedrock, including selecting appropriate foundation models and explaining the rationale for model selection.
• Amazon Open Search for vector search and semantic retrieval.
• Amazon S3 for data/document storage.
• Amazon Bedrock Agent Core / Agent Core – actual production deployment experience is required; conceptual knowledge is not sufficient.

• Design and implementation of RAG (Retrieval-Augmented Generation) solutions with grounded, cited responses.
• Agentic architectures, including short-term and long-term agent memory.
• Experience implementing human-in-the-loop workflows and approval patterns.
• Data Ingestion & Document Processing
  - Critical
• Hands-on ownership of ingestion pipelines processing millions of mixed-format documents.
• Experience with PDFs containing tables/images, CSVs, and other unstructured/semi-structured data.
• Strong understanding of document extraction, parsing, preprocessing, chunking, metadata and embedding strategies.
• Candidate must be able to architect and own the ingestion/data pipeline, rather than relying on a separate data engineering team.

• Experience architecting a semantic layer across structured and unstructured data.
• Ability to model and integrate different data shapes for GenAI/RAG applications.

• EKS / Kubernetes and container architecture.
• Ability to explain and defend EKS vs. ECS architecture decisions.
• Strong Terraform / Infrastructure-as-Code experience through production deployment.
• AWS networking, monitoring, logging and production infrastructure.

• Strong understanding of AWS security architecture, including:
  • IAM / least-privilege access
  • KMS
  • TLS / encryption
  • Private networking / VPC
  • Secrets Manager
  • Bedrock Guardrails
  • Prompt-injection defense
  • PII detection/masking
  • Cloud Trail / Cloud Watch
• Experience designing GenAI solutions for regulated or sensitive data environments.

• Strong Python skills; able to develop and troubleshoot production-quality GenAI/data pipeline components.

• Experience creating Architecture Decision Records (ADRs) and technical architecture documentation.
• Ability to present, explain and defend architecture decisions to client architecture review boards and senior technical stakeholders.

This is a remote position.