AWS GenAI Solutions Architect

Job not on LinkedIn

🔥 28 minutes ago

🇺🇸 United States – Remote

💵 $60 - $90 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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High Bridge Consulting LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

High Bridge Consulting LLC is a bottom-up, people-first consulting and staffing firm that helps enterprises with digital transformation and technology-focused talent solutions. The company emphasizes integrity, quality, and collaboration, positioning itself as a knowledge management partner that supports clients, associates, vendors and partners across areas such as AI/ML, IoT, blockchain and other digital initiatives. High Bridge provides consulting services and places skilled associates to enable clients' success while fostering a creative, supportive environment for its consultants.

📋 Description

• Select appropriate Amazon Bedrock foundation models and explain model-selection rationale • Design and implement RAG solutions with grounded, cited responses • Design agentic architectures with short-term and long-term memory • Implement human-in-the-loop workflows and approval patterns • Architect and own ingestion pipelines processing millions of mixed-format documents • Process PDFs with tables/images, CSVs, and other unstructured/semi-structured data • Design document extraction, parsing, preprocessing, chunking, metadata, and embedding strategies • Architect semantic layers across structured and unstructured data • Model and integrate different data shapes for GenAI/RAG applications • Design EKS/Kubernetes and container architectures and defend EKS versus ECS decisions • Implement Terraform-based infrastructure through production deployment • Design AWS networking, monitoring, logging, and production infrastructure • Design secure GenAI solutions for regulated or sensitive data, including IAM, encryption, VPC, secrets, guardrails, prompt-injection defense, PII masking, and CloudTrail/CloudWatch • Develop and troubleshoot production-quality GenAI and data-pipeline components in Python • Create ADRs and technical architecture documentation • Present and defend architecture decisions to client architecture review boards and senior technical stakeholders

🎯 Requirements

• Strong hands-on experience with Amazon Bedrock, including selecting appropriate foundation models and explaining model-selection rationale • Production deployment experience with Amazon Bedrock AgentCore / Agent Core • Experience with Amazon OpenSearch for vector search and semantic retrieval • Experience with Amazon S3 for data/document storage • Design and implementation experience with RAG solutions with grounded, cited responses • Experience with 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 • 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 • Ability to architect and own ingestion/data pipelines without relying on a separate data engineering team • Experience architecting a semantic layer across structured and unstructured data • Ability to model and integrate different data shapes for GenAI/RAG applications • Experience with EKS/Kubernetes and container architecture • Ability to explain and defend EKS versus ECS architecture decisions • Strong Terraform/Infrastructure-as-Code experience through production deployment • Experience with 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, and CloudTrail/CloudWatch • Experience designing GenAI solutions for regulated or sensitive data environments • Strong Python skills for developing and troubleshooting 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

🏖️ Benefits

• Full-time employment • Fully remote work • Compensation of $60.00–$90.00 per hour