[Hiring] AWS GenAI Solutions Architect @HIGH BRIDGE CONSULTING LLC

Role Description

Our client is 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.

• AWS GenAI Stack – Hands-On
  • Strong hands-on experience with Amazon Bedrock, including selecting appropriate foundation models and explaining the rationale for model selection.
  • Amazon OpenSearch for vector search and semantic retrieval.
  • Amazon S3 for data/document storage.
  • Amazon Bedrock AgentCore / Agent Core — actual production deployment experience is required; conceptual knowledge is not sufficient.
• RAG & Agentic Architecture
  • 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.
• Semantic Layer & Data Architecture
  • Experience architecting a semantic layer across structured and unstructured data.
  • Ability to model and integrate different data shapes for GenAI/RAG applications.
• AWS Platform & Infrastructure
  • 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.
• Security & Governance – Regulated Data
  • 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
    • CloudTrail / CloudWatch
  • Experience designing GenAI solutions for regulated or sensitive data environments.
• Programming
  • Strong Python skills; able to develop and troubleshoot production-quality GenAI/data pipeline components.
• Architecture & Client Communication
  • 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.

Company Description