Top Tech Jobs & Startup Jobs

Handles inbound customer calls, identifies insurance needs, explains products and benefits, converts prospects into qualified leads and sales, and assists with enrollment applications. Maintains accurate customer records, may conduct follow-up calls, meets sales and customer experience goals, and maintains required insurance licensing and certifications. The role includes onsite training, AI-enabled workflow improvement, and structured early-career development.

Supports business systems through requirements gathering, process analysis, application implementation, testing, troubleshooting, user support, training, and continuous improvement. Partners with business and technical stakeholders to define solutions, manage projects, resolve issues, document workflows, and improve operational efficiency. The role also coordinates technology initiatives, supports change and release processes, and provides recommendations based on data and user feedback.

Performs employer benefit plan design coding, EOB customization, structure revisions, and issue resolution. Manages monthly releases, testing, mailing requests, timelines, templates, print setup, and quality reviews. Identifies workflow automation opportunities, recommends process improvements, and supports quality standards. The role requires accurate data entry, Excel proficiency, strong organization, communication, time management, and the ability to work onsite during assigned business hours.

Leads the design, development, deployment, and operation of scalable machine learning and Generative AI solutions for healthcare and enterprise use cases. Builds predictive models, LLM applications, RAG architectures, data pipelines, and MLOps/LLMOps frameworks. Provides technical leadership through architecture, code reviews, mentoring, governance, and stakeholder collaboration while ensuring security, HIPAA compliance, reliability, performance, and responsible AI practices.

Owns strategy, roadmap, commercialization, pricing, and measured outcomes for a secure enterprise AI platform. Defines APIs, contracts, service levels, developer experience, instrumentation, unit economics, and product-market fit. Partners with engineering, security, legal, compliance, sales, and enterprise platform teams to commercialize AI capabilities while managing risk, adoption, cost, and platform commitments. Influences senior leaders and clients across technical and business stakeholders.

Ensures the accuracy, integrity, and compliance of pharmacy, drug, pricing, prescriber, and related data. Performs audits, resolves data issues and service tickets, coordinates vendor enhancements, produces usage and impact reports, and supports data restructuring projects through implementation, testing, and validation. The role also provides reporting and data-extract consultation while managing multiple projects and deadlines.

Design, develop, and maintain scalable web applications, APIs, microservices, distributed systems, and real-time data solutions across hybrid on-premises and Azure environments. Translate product requirements into technical designs, modernize enterprise applications, troubleshoot production issues, and drive engineering quality through testing, monitoring, observability, and code reviews. Collaborate cross-functionally, support business-critical applications, integrate AI technologies, and contribute across the full software development lifecycle.

Lead AI, machine learning, and generative AI strategy and engineering for marketing-related domains. Design, deploy, and scale solutions using LLMs, RAG, AI agents, vector databases, and model fine-tuning across AWS, Azure, and GCP. Drive AI lifecycle automation through Agile, DevSecOps, and CI/CD practices; mentor teams; establish engineering standards and governance; and integrate AI capabilities into enterprise products and platforms.

Partner with Biometrics leadership to support financial planning and analysis across month-end close, forecasting, long-range modeling, budgeting, and management reporting. Build and maintain financial reports and presentations, reconcile systems, analyze revenue, product profitability, membership, and SG&A trends, and provide strategic finance insights to influence product and business strategy.

Leads applied AI/ML science and engineering initiatives, developing machine learning models for healthcare outcomes using structured and unstructured data. Establishes reusable AI/ML platforms, production pipelines, and engineering standards; mentors scientists and engineers; collaborates with business and responsible AI teams; and promotes enterprise adoption. The role also involves technical documentation, patents, publications, model governance, and explaining complex solutions to technical and non-technical audiences.