AWS GenAI / Solutions Architect
High Bridge Consulting
- Job
- 29313
- Posted
- Location
- Remote
- Work type
- Contract
- Tax terms
- W2, C2C, 1099
- Experience
- Experience open
- Rate
- $60 to $90 (Hourly)
- Openings
- 1 opening
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Skills
- Python
- AWS
- Terraform
- Kubernetes
- IAM
About the job
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