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AWS GenAI Solutions Architect

Role overview

Qualifications

  • Strong hands-on experience with Amazon Bedrock
  • Experience designing GenAI solutions for regulated or sensitive data environments
  • Strong Python skills
  • Strong Terraform / Infrastructure-as-Code experience

Responsibilities

  • Design and implement RAG (Retrieval-Augmented Generation) solutions
  • Architect and own the ingestion/data pipeline
  • Create Architecture Decision Records (ADRs) and technical architecture documentation
  • Explain and defend architecture decisions to client architecture review boards

Key facts

Hard skills

About the company

High Bridge Consulting logo

High Bridge Consulting

  • Staffing & Recruiting
  • SME
  • 51–200
High Bridge is a bottom-up consulting firm with more than two decades of experience creating innovative solutions for the technology industry. • We connect thoughtfully curated talent with reputable employers in our field. • We partner with like-minded companies to bolster mutual success and understanding. • We deliver results through strategic planning and meticulous project management. At High Bridge, we believe that success is a measure of results and process, product and person. We are proud to bring integrity and humanity to the work that we do each day. Whether we’re interviewing prospective associates, brainstorming with partners, or troubleshooting with vendors, we pledge our commitment to honesty, transparency, and good humor at every junction. We invite you to cross our bridge and explore the other side.

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Job description

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

This is a remote position.

Compensation: $60.00 - $90.00 per hour


Who We Are

High Bridge is a bottom-up consulting firm with more than two decades of experience creating innovative solutions for the technology industry.
  • • We connect thoughtfully curated talent with reputable employers in our field.
  • • We partner with like-minded companies to bolster mutual success and understanding.
  • • We deliver results through strategic planning and meticulous project management.
At High Bridge, we believe that success is a measure of results and process, product and person. We are proud to bring integrity and humanity to the work that we do each day. Whether we’re interviewing prospective associates, brainstorming with partners, or troubleshooting with vendors, we pledge our commitment to honesty, transparency, and good humor at every junction.

Careers

Are you passionate about technology? Do you believe in no finish lines? Are people and process the heel in your stride? High Bridge Consulting may be the next journey for you.

Here at High Bridge, our island is technology, but our village is human. We value a culture of authenticity, integrity, and creativity. We work smart, not hard, we look forward, not backward, and we love coming to work on Monday.

If you aren’t afraid of heights, join us on our bridge.


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