Top Tech Jobs & Startup Jobs

Retrieves, queries, analyzes, and reports on healthcare claims data for Internal Audit and Claims Payment Integrity. Develops reporting solutions, defines data requirements and metadata, administers reporting tools, supports proof-of-concepts, documents testing, maintains reporting technologies, and contributes to vendor evaluations and cross-functional projects.

Provides senior technical leadership across clinical and communications systems, including application architecture, solution design, development, integration, modernization, reliability, and performance improvements. Leads complex technical initiatives from design through delivery, responds to system failures, supports interoperability and electronic prior authorization capabilities, and mentors engineering teams. Requires strong software engineering, coding, systems analysis, communication, and project leadership skills.

Lead enterprise workforce AI initiatives using Microsoft 365 Copilot, Copilot Studio, Azure AI services, and Power Platform. Guide AI governance, security, compliance, responsible adoption, and scalable productivity solutions. Partner with business and technology teams, mentor engineers and citizen developers, troubleshoot outages, conduct capacity planning, coordinate third-party support, and lead service restoration. The role requires after-hours maintenance and participation in an on-call rotation.

Supports actuarial research and experience analyses for health insurance products, including risk adjustment, pricing, and valuation. Collaborates with actuaries and analysts to assess premium accuracy, reserve estimates, and financial statement completeness. This remote internship requires at least 20 hours weekly and provides hands-on professional experience.

Develop, enhance, maintain, and support enterprise provider-facing applications and services. Responsibilities include designing, coding, testing, debugging, documenting, integrating, and troubleshooting .NET Core systems, APIs, batch solutions, and legacy platforms. The role provides production support, participates in on-call rotations, responds to system failures, contributes to project delivery, and guides less-experienced analysts and programmers.

Paid remote financial accounting and reporting internship offering 12 months of rotational exposure across accounting teams. Interns will gain hands-on experience while completing meaningful work, collaborating professionally, and developing financial reporting skills. Applicants must be active college students or recent graduates, have completed Intermediate I Accounting coursework and at least two years of college, maintain a 2.75 GPA, and demonstrate proficiency with Microsoft Office, communication, organization, and independent work skills.

Provides first-contact member support, explains benefits and claims, assists with Marketplace plan selection and enrollment, and sells health, life, dental, vision, accident, and hospital indemnity products. Builds community engagement through informational sessions and targeted outreach. Requires extensive travel, flexible scheduling, customer service experience, insurance certifications, and an active Tennessee Life and Health license.

Leads the design, development, and production deployment of AI solutions for healthcare payer applications. Responsibilities include architecting AI models and integrations, developing scalable production systems, evaluating model accuracy and fairness, translating business workflows into AI-enabled automation, researching emerging techniques, advising stakeholders, and mentoring junior engineers.

Lead cloud migration, AI platform adoption, and operational optimization. Design and automate cloud infrastructure (IaC, CI/CD), monitor and troubleshoot systems, guide security and architecture decisions, and document/educate teams to ensure scalable, redundant cloud/AI deployments.

Designs and implements AI-enabled workflows for Treasury and Internal Audit teams. Partners with business, security, compliance, and legal stakeholders to identify opportunities, define requirements, integrate AI components with APIs and internal systems, and support testing, monitoring, troubleshooting, training, governance, and adoption. The role requires Python, cloud platform familiarity, orchestration and integration knowledge, and exposure to generative AI or LLM frameworks.