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Solvd

AI-driven software development and QA services

Solution Architect - AWS Generative AI

Implementation & Technical Account ManagementPosted on Nov 13
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 10 years of software or cloud engineering experience, including at least 5 years designing production systems on AWS and at least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch.
  • Hands-on experience with Bedrock Knowledge Bases data sources and sync, OpenSearch Serverless vector collections, API Gateway, Lambda, IAM policy authoring, KMS, and CloudWatch.
  • Experience designing permission-aware retrieval over Microsoft 365 content using SharePoint and Teams via Microsoft Graph with Entra app registration, or an equivalent enterprise content platform.
  • A track record of writing architecture and API documents approved by a client security team on the first or second review.
  • Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8–16 weeks.
  • Ability to present to CIO- or VP-level audiences and interview with the client before kickoff.

Responsibilities

  • Own the technical design and outcome of an AWS-native retrieval platform engagement, including architecture, security design, API contract, cost model, and technical risk.
  • Produce the target architecture for Amazon Bedrock Knowledge Bases with OpenSearch Serverless as the vector store, S3 as the landing zone, and a retrieval API on API Gateway and Lambda, and obtain approval from client IT and Security by the end of week 2.
  • Define the security design, including IAM roles and least privilege for every pipeline and API component, encryption at rest and in transit, VPC and endpoint posture, secrets handling for external credentials, and an entitlement-aware permission model for retrieval.
  • Own the retrieval API contract and Integration Blueprint for the Agent Assist provider, including request and response schema, versioning policy, authentication, rate limits, error semantics, and citation payload.
  • Decide and document the chunking, embedding model, hybrid search, and metadata filtering strategy, including the cost model for OpenSearch Serverless minimum capacity, embedding on ingest, and re-embedding on model change.
  • Run the end-of-Phase-1 technical re-baselining checkpoint, validate inventoried content volumes against the design, and flag change control triggers.
  • Cross-review the Knowledge Management Lead’s taxonomy and metadata model to ensure the index can filter on the tags stewards apply.
  • Author the operations design, including CloudWatch metrics and alarms for connector sync health, ingestion failures, API latency, error rate, OpenSearch capacity, and retrieval quality regressions; review each runbook before handover.
  • Lead the transition readiness review in weeks 9–10 and jointly sign the readiness checklist with the client.
  • Defend technical decisions to client IT, Security, and the Agent Assist provider, and serve as the engineers’ escalation point through hypercare.

Desired Qualifications

  • AWS Certified Solutions Architect Professional certification.
  • AWS Certified Generative AI Developer Professional certification.
  • Prior work with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs.
  • Experience with contact center Agent Assist integrations from any major provider.
  • Familiarity with SOC 2 or ISO 27001 control language.

About the Company

Solvd

AI-driven software development and QA services

Solvd is a global B2B technology partner that provides strategic digital transformation and software engineering services, including AI advisory, data engineering, digital experience design, custom application development, DevOps and cloud engineering, and quality engineering. Its Zebrunner platform is an AI-powered quality management suite that unifies manual and automated testing with test case management, AI-driven failure analysis, dashboards, and integrations with Jira and Slack, across real devices and multiple browsers. The company differentiates itself by blending AI strategy with practical engineering and ongoing quality assurance, supported by a global delivery model and acquisitions of EastBanc Technologies and Tooploox to deepen AI and enterprise transformation capabilities. Its goal is to help Fortune 500 and other large organizations digitally transform efficiently, improve software quality, and speed up product delivery.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Roseville, CA
Founded
2011

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