Solution Architect, AI – Cloud

Advantage Investigations

. Keep writing production code while setting direction, improving engineering practices, and coaching engineers .

Posted 10/17/2026full-timeRemote • North Carolina • United StatesSeniorLead💰 $165,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a focus on technical ownership of production systems, including strong capabilities in Python, FastAPI, C#, .NET, and AWS infrastructure. Proven ability to lead teams, modernize legacy systems, and ensure production stability while maintaining high coding standards and effective communication.

Highest-signal resume keywords

Python DevelopmentAWS Infrastructure ManagementC# / .NET ExpertiseTechnical LeadershipProduction System Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIC#.NETTypeScriptReactVueAngularSQL ServerPostgreSQL

Soft Skills

CoachingClear CommunicationMentoringCollaborationTechnical Decision-Making

Tools & Technologies

AWS LambdaAPI GatewayDynamoDBS3CloudFormationAzure DevOpsGitHubMediaConvertStep FunctionsECS

Industry Keywords

Generative AIDocument ExtractionInsuranceClaimsInvestigationsRegulated DomainSingle Sign-OnCross-Application IntegrationPerformance TuningInfrastructure as Code

Tech Stack

Tools & technologies

AngularASP.NETAWSAzureDynamoDBPostgresPythonReactSQLTypeScriptVue.js.NET

About the role

Key responsibilities & impact

Keep writing production code while setting direction, improving engineering practices, and coaching engineers
Take hands-on ownership of the AI platform, a Python and FastAPI service on Amazon Bedrock with React, TypeScript, and AWS serverless infrastructure
Own the AI platform API, infrastructure, and user interface across development, QA, and production
Build and operate Python and FastAPI services using Amazon Bedrock multimodal models for document extraction and investigative-service recommendations
Maintain AWS infrastructure built with SAM and CloudFormation, including API Gateway, Lambda, Aurora PostgreSQL Serverless, S3, SQS, DynamoDB, and ECS
Guide the React and TypeScript front end, including single sign-on with the case-management platform
Make AI behavior reliable, measurable, and cost-aware, with human review of every AI output
Architect the .NET 8 case-management back end and Vue 3 front end, including SQL Server, authentication, and Bedrock-enabled features
Modernize the business-critical case-management platform incrementally without disrupting operations
Guide the video API, Angular front end, and Python GPU search service
Shape media workflows using S3, DynamoDB, CloudFront, MediaConvert, Step Functions, Lambda, and WebSockets, including storage lifecycle and cost
Set reference patterns, coding standards, security baselines, observability, and CI/CD practices across Azure DevOps and GitHub
Lead architecture reviews and write design notes and decision records
Own cross-platform integration, including shared single sign-on, case and video linkage, and data flows
Coach engineers and support hiring and onboarding
Partner with operations and leadership on priorities, estimates, risks, and tradeoffs
Work with development partners and report to the CTO
Deliver 90-day, six-month, and 12-month milestones for platform ownership, production stability, standards, architecture reviews, and cross-platform technical leadership

Requirements

What you’ll need

12 or more years of professional software engineering, including technical ownership of production systems, not design-only work
A player-coach record: substantial production delivery, plus technical leadership and mentoring
Strong production experience with C# / .NET and ASP.NET Core, and with Python and FastAPI or a comparable framework
Strong TypeScript experience and at least one of React, Vue, or Angular, with the ability to review work in the others
Deep AWS experience, including ECS, Lambda, API Gateway, S3, DynamoDB, RDS or Aurora, CloudFront, SQS, Step Functions, IAM, and VPC networking
Infrastructure as code, containerized deployment, and performance tuning in SQL Server and PostgreSQL
OIDC and OAuth2, JWT, cross-application single sign-on, least-privilege IAM, and secure file handling
Proven modernization of a legacy system without stopping the business
Clear writing and speech, including explaining a tradeoff to a non-engineer
Preferred: Production generative AI, ideally Amazon Bedrock: multimodal prompting, evaluation, document extraction, and cost control
Preferred: Video or media pipelines, HLS, MediaConvert, CloudFront signed access, and S3 lifecycle or archival strategies
Preferred: Computer vision or GPU workloads, such as InsightFace, ONNX Runtime, CUDA, or GPU containers on ECS
Preferred: Azure DevOps, GitHub workflows, NetSuite, Twilio, or Microsoft Graph
Preferred: Insurance, claims, investigations, or another regulated domain with sensitive personal data and evidence
Preferred: Using AI-assisted development tools to raise your own output and the team’s