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High Bridge Consulting LLC
High Bridge Consulting LLC
51 – 200 Employees
ConsultingLogisticsMarketing
High Bridge Consulting LLC is a consulting and staffing firm focused on digital transformation and technology talent solutions. Its services connect enterprises with skilled associates for initiatives involving AI and machine learning, the Internet of Things, blockchain, and other digital technologies. The company takes a people-first approach built around collaboration, knowledge sharing, and support for clients, consultants, vendors, and partners.
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AWS Generative AI Solutions Architect

Design production-grade RAG, agentic, and data-ingestion systems on AWS for a consulting environment. Lead secure architectures for regulated data and communicate technical decisions to clients and senior stakeholders.

USUnited States
$60 – $90 / hour
RemoteFull-timeMiddleSeniorEnglish RequiredSolutions Engineer
AWSKubernetesPythonTerraform

Description

  • Choose Amazon Bedrock foundation models and justify selection decisions
  • Build RAG systems that deliver grounded, cited answers
  • Design agentic systems with short- and long-term memory
  • Implement human-review workflows and approval controls
  • Own ingestion pipelines handling millions of mixed-format documents
  • Process PDFs with tables and images, CSV files, and other semi-structured or unstructured data
  • Define extraction, parsing, preprocessing, chunking, metadata, and embedding approaches
  • Create semantic layers spanning structured and unstructured information
  • Model and connect varied data structures for GenAI and RAG use cases
  • Design EKS, Kubernetes, and container platforms while defending EKS or ECS choices
  • Deliver Terraform-based infrastructure through production release
  • Design AWS networking, observability, logging, and production environments
  • Build secure GenAI architectures for sensitive or regulated data using IAM, encryption, VPCs, secrets, guardrails, prompt-injection defenses, PII masking, and CloudTrail or CloudWatch
  • Build and debug production-grade GenAI and data-pipeline components in Python
  • Document architecture decisions through ADRs and technical design materials
  • Present and defend architecture choices to client review boards and senior technical stakeholders

Requirements

  • Hands-on Amazon Bedrock expertise, including foundation-model selection and rationale
  • Production deployment experience with Amazon Bedrock AgentCore
  • Experience using Amazon OpenSearch for vector search and semantic retrieval
  • Experience using Amazon S3 for document and data storage
  • Experience designing and implementing grounded RAG systems with cited responses
  • Experience with agentic architectures and short- and long-term agent memory
  • Experience implementing human-review workflows and approval patterns
  • Ownership of ingestion pipelines processing millions of mixed-format documents
  • Experience handling PDFs with tables or images, CSVs, and other unstructured or semi-structured data
  • Strong knowledge of document extraction, parsing, preprocessing, chunking, metadata, and embedding methods
  • Ability to own ingestion and data pipelines without a separate data engineering team
  • Experience architecting semantic layers across structured and unstructured data
  • Ability to model and integrate varied data structures for GenAI and RAG applications
  • Experience with EKS, Kubernetes, and container architecture
  • Ability to explain and defend EKS versus ECS architecture decisions
  • Strong Terraform and infrastructure-as-code experience through production deployment
  • Experience with AWS networking, monitoring, logging, and production infrastructure
  • Strong AWS security architecture knowledge, including least-privilege IAM, KMS, TLS and encryption, private VPC networking, Secrets Manager, Bedrock Guardrails, prompt-injection defense, PII detection and masking, and CloudTrail or CloudWatch
  • Experience designing GenAI systems for regulated or sensitive-data environments
  • Strong Python skills for production GenAI and data-pipeline development and troubleshooting
  • Experience writing Architecture Decision Records and technical architecture documentation
  • Ability to present and defend architecture decisions to client review boards and senior technical stakeholders

Benefits

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

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