Solution Architect, AI – Cloud
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Job Description
Solution Architect leading AI, cloud, and claims-investigation platforms at Advantage Investigations. Owning AWS systems, production architecture, modernization, and engineering direction.
Responsibilities:
- 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:
- 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
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