AWS GenAI Solutions Architect

HIGH BRIDGE CONSULTING LLC

4d • $60 - $90 • Remote

About The Position

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. This is a remote position.

Requirements

• 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.
• 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.
• EKS / Kubernetes and container architecture.
• 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, CloudTrail / CloudWatch.
• 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.

Nice To Haves

• Conceptual knowledge of Amazon Bedrock AgentCore / Agent Core is not sufficient; actual production deployment experience is required.

Responsibilities

• Design and implementation of RAG (Retrieval-Augmented Generation) solutions with grounded, cited responses.
• Design and implementation of Agentic architectures, including short-term and long-term agent memory.
• Experience implementing human-in-the-loop workflows and approval patterns.
• Hands-on ownership of ingestion pipelines processing millions of mixed-format documents.
• Architect and own the ingestion/data pipeline, rather than relying on a separate data engineering team.
• Architecting a semantic layer across structured and unstructured data.
• Ability to model and integrate different data shapes for GenAI/RAG applications.
• Ability to explain and defend EKS vs. ECS architecture decisions.
• Designing GenAI solutions for regulated or sensitive data environments.
• Develop and troubleshoot production-quality GenAI/data pipeline components.
• Creating Architecture Decision Records (ADRs) and technical architecture documentation.
• Present, explain and defend architecture decisions to client architecture review boards and senior technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed