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
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- 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.
Compensation: $60.00 - $90.00 per hour
