Top Tech Jobs & Startup Jobs

Leads payer-focused AI consulting engagements from opportunity discovery through implementation. Builds executive relationships with health plans, identifies AI opportunities, leads proposals and negotiations, shapes scopes and commercial models, and oversees cross-functional delivery. Accountable for client satisfaction, delivery quality, revenue, margin, utilization, pipeline, and measurable business outcomes. Develops repeatable consulting offerings, promotes responsible AI practices, and coaches multidisciplinary teams.

Designs and leads end-to-end AI solutions for healthcare provider clients, redesigning clinical, revenue cycle, and administrative workflows. Advises stakeholders, prioritizes AI use cases, develops implementation specifications and business cases, supports deployments and system enhancements, and ensures responsible AI governance. The role also includes client workshops, executive presentations, training development, stakeholder communication, and evaluating emerging AI technologies.

Participate in a 10-week Medicare sales internship involving classroom training, networking, sales competitions, job shadowing, presentation development, and exposure to direct-to-consumer health insurance sales. Gain hands-on experience with sales support, phone-based activities, operational processes, and AI-enabled tools for analysis, reporting, automation, and workflow improvement.

Designs, deploys, and scales AI and machine learning solutions for enterprise healthcare applications. Responsibilities include building and tuning production models, developing MLOps frameworks and deployment pipelines, monitoring model performance, automating workflows, evaluating emerging AI technologies, and ensuring security, scalability, responsible AI, and governance standards. The role collaborates with software engineers, data scientists, and business stakeholders.

Leads AI/ML engineering and delivery across Generative AI, RAG, and MLOps initiatives. Directs architecture, development, deployment, observability, governance, and lifecycle management for scalable AI solutions. Establishes responsible AI standards, evaluation practices, CI/CD, cloud enablement, and reusable engineering frameworks. Manages and mentors AI/ML engineering teams while partnering with product, data, infrastructure, and business stakeholders to deliver measurable outcomes.

Manage end-to-end client onboarding and implementation projects for FFS Medicaid clients. Coordinate cross-functional healthcare, clinical, formulary, operations, and audit teams; monitor deliverables, risks, performance, and client satisfaction; facilitate leadership meetings; resolve issues; communicate status; and mentor implementation staff. The role requires customer-facing project leadership, healthcare and PBM expertise, and up to 15% travel.

Early-career accountant responsible for general ledger maintenance, account reconciliations, journal entries, month-end and quarter-end close support, financial statement preparation, audit documentation, and ad hoc financial analysis. The role offers opportunities in controllership accounting, financial analysis, and regulatory accounting. Candidates must be completing or have recently completed a bachelor’s degree in accounting and be authorized to work in the U.S. without sponsorship.

Handle inbound calls from prospective health insurance members, assess their needs, explain products and benefits, and complete enrollment applications. Build customer relationships, meet sales and experience goals, maintain required insurance licensure and certifications, and occasionally make outbound follow-up calls. Participate in a structured onsite training program and use AI tools to improve reporting, workflows, and customer-related processes.

Designs, deploys, and maintains enterprise AI and machine learning solutions in cloud production environments. Builds scalable models, data pipelines, ML architectures, and MLOps workflows; monitors model performance; evaluates emerging AI technologies; and collaborates with data scientists, engineers, and product leaders on healthcare solutions. The role also includes code reviews, technical mentoring, responsible AI practices, and continuous improvement.

Develop and document software and data engineering solutions by analyzing information needs, system flows, requirements, and operational feasibility. Design system specifications, implement solutions using SQL, shell scripting, Spark, Scala, Hive, and cloud platforms, and collaborate with agile teams to create products. The role also requires applying AI tools, communicating effectively, and delivering work on schedule.