Jobs at RADcube LLC

Manage end-to-end US IT recruitment for direct-client W2 roles, including sourcing, screening, interviewing, candidate and client relationship management, offer negotiation, and timely job closure. The recruiter will maintain strong submission-to-hire ratios, stay current on technology and market trends, and consistently meet hiring targets in a fast-paced environment.

Designs and evaluates data and AI architecture within a lakehouse environment, including domain data architecture, schema definitions, and ontology design.

Builds and maintains ETL and ELT data pipelines and data models, incorporating data quality controls and performance optimization.

Partners with business units to discover processes and challenges, identify and prioritize AI and GenAI opportunities, and translate them into use cases and requirements. Facilitates stakeholder workshops, maps current and future processes, defines user stories, KPIs, and value measures, and coordinates with data and AI engineering teams through UAT and adoption. Communicates business impact to executives and supports expanding client engagements.

Build enterprise GenAI applications using LLMs, RAG pipelines, agentic workflows, document ingestion, embeddings, vector search, retrieval, reranking, APIs, and microservices. Evaluate and monitor AI quality, grounding, security, and governance. Collaborate with business teams to identify AI use cases and explain solutions clearly. The role is client-facing and requires local Indianapolis candidates able to work onsite or hybrid.

Designs and owns data architecture, models, governance, security, and scalable solutions on modern data platforms. Translates business needs into technical designs, guides data engineers, enables AI use cases, leads stakeholder discussions, and identifies opportunities to expand the client engagement. The role is client-facing and requires local Indianapolis availability for onsite or hybrid work.

Designs and supports scalable data engineering solutions, pipelines, processing systems, and data platforms. Translates business requirements into technical solutions, contributes to architecture discussions, communicates with client stakeholders, and identifies opportunities to apply data and AI technologies. The role is client-facing, onsite or hybrid in Indianapolis, and supports potential engagement expansion.

Lead enterprise-scale migrations to GitHub Enterprise Managed Users using GitHub Enterprise Importer and bulk repository migration tools. Configure SAML SSO and SCIM identity integrations with Microsoft Entra ID or Okta, and migrate GitHub Actions workflows, runners, secrets, and branch protections.

Build enterprise data models, semantic layers, metadata, SQL transformations, and cloud data pipelines. Improve text-to-SQL and generative BI accuracy by partnering with AI engineers on RAG, agents, prompts, testing, and guardrails. Translate business needs into data requirements, validate KPIs, document schemas, apply quality and governance standards, and collaborate with technical and non-technical stakeholders across pharma, life sciences, manufacturing, and healthcare projects.

Supports agency-wide data governance by managing metadata, data dictionaries, data quality rules, data sharing requests, access governance, policies, SOPs, and stewardship initiatives. The role coordinates with data owners, legal teams, and agency divisions; delivers data literacy training; tracks governance metrics; maintains audit trails; and drives continuous improvement of the data governance framework.