AWS GenAI Solutions Architect

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

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• Experience designing GenAI solutions for regulated or sensitive data environments.

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

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• 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

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This is a remote position.