Solution Architect, AI & Cloud

Advantage Investigations is a national claims investigation company. We build and run the software behind the investigation lifecycle: claim intake, case management, secure video, and AI-assisted analysis. The platforms run on AWS.

You will keep writing production code while you set direction, improve engineering practices, and coach the engineers you work with.

In the first six months you take hands‑on ownership of our newest AI platform: a Python and FastAPI service on Amazon Bedrock, with a React and Type Script front end and AWS serverless infrastructure. It turns claim referrals, including PDFs, scanned images, and email, into structured cases and recommended investigative services.

NET 8 and ASP.NET Core, SQL Server, and Vue 3, covering investigators, scheduling, documents, billing, and client communication. Video is a .NET API, an Angular front end, and a Python GPU service, on AWS media services, for upload, processing, playback, archive, and AI‑assisted search.

The work is remote. Own the AI platform

Build and operate Python and FastAPI services that use Amazon Bedrock, including multimodal models, for document extraction and service recommendations.

Maintain the AWS infrastructure, built with SAM and Cloud Formation: API Gateway, Lambda, Aurora PostgreSQL Serverless, S3, SQS, DynamoDB, and ECS.

Guide the React and Type Script front end, including single sign‑on with the case‑management platform.

Make early AI behavior reliable, measurable, and cost‑aware. A person reviews every AI output before it is used.

NET 8 case‑management back end and Vue 3 front end, including SQL Server, authentication, and Bedrock‑enabled features.

Modernize a large, business‑critical platform in increments, without disrupting daily operations.

Guide the video API, Angular front end, and Python GPU search service.

Set reference patterns, coding standards, security baselines, observability, and CI/CD practice across Azure Dev Ops and Git Hub.

Own cross‑platform integration: shared single sign‑on, case and video linkage, and the data flows between the systems.

Partner with operations and leadership on priorities, estimates, risks, and tradeoffs.

First 90 days: own the AI platform, ship features and fixes independently, make deployments predictable and documented, and address open security‑review items.

First 6 months: that platform is stable in production, engineering standards are in writing, and you are in regular architecture reviews on the case‑management and video systems.

First 12 months: you are the technical lead across all three, with a cross‑platform roadmap and measurable gains in reliability and delivery.

12 or more years of professional software engineering, including technical ownership of production systems, not design‑only work.

• Strong production experience with C# / .NET and ASP.NET Core, and with Python and FastAPI or a comparable framework.
• Strong Type Script 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, Cloud Front, 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.
• Clear writing and speech, including explaining a tradeoff to a non‑engineer.

Production generative AI, ideally Amazon Bedrock: multimodal prompting, evaluation, document extraction, and cost control.

Video or media pipelines, HLS, Media Convert, Cloud Front signed access, and S3 lifecycle or archival strategies.

Computer vision or GPU workloads, such as Insight Face, ONNX Runtime, CUDA, or GPU containers on ECS.

Azure Dev Ops, Git Hub workflows, Net Suite, Twilio, or Microsoft Graph.

Insurance, claims, investigations, or another regulated domain with sensitive personal data and evidence.

Using AI-assisted development tools to raise your own output and the team's.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.