Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and operate an enterprise RAG retrieval platform using Amazon Bedrock and OpenSearch Serverless. Responsibilities include configuring vector search infrastructure, implementing hybrid retrieval and entitlement filtering, developing a versioned Lambda/API Gateway retrieval API, creating quality and operational dashboards, supporting pilot tuning, and documenting runbooks. The role requires production RAG or enterprise search experience, Python, AWS services, infrastructure as code, evaluation metrics, and optimization of relevance, latency, security, and cost.

Owns architecture and technical outcomes for an AWS-native generative AI retrieval platform. Designs security, APIs, search and embedding strategies, cost models, observability, and operational readiness. Leads client approvals, technical risk decisions, delivery escalation, re-baselining, and transition readiness for enterprise implementations using Bedrock Knowledge Bases, OpenSearch Serverless, S3, API Gateway, and Lambda.

Build and maintain connectors for Oracle B2C Service, SharePoint, OneDrive, Teams, and Sitecore. Develop an AWS ingestion pipeline that extracts, transforms, deduplicates, enriches, permission-tags, indexes, and retires content in S3 and Amazon Bedrock Knowledge Bases. Implement synchronization, throttling, retries, failure isolation, monitoring, inventory reporting, documentation, and client transition support.

Drive new enterprise logo acquisition for AI, cloud, digital, data, and engineering services. Generate pipeline through outbound prospecting, campaigns, events, and partnerships; own the full sales cycle from discovery through contract closure; engage executive stakeholders; negotiate commercial agreements; maintain CRM and forecast discipline; and manage new accounts for six months after closing before handoff to a Client Partner.

Leads cloud, infrastructure, data, security, and AI architecture across AWS, Azure, Kubernetes, and infrastructure-as-code environments. Defines reference architectures, landing zones, data platforms, GenAI production patterns, security controls, cost models, and operational standards. Shapes client engagements, technical scope, and roadmaps; guides delivery through design reviews and mentoring. Requires hands-on production architecture experience, strong security and governance expertise, and the ability to operate effectively amid ambiguity.