Top Tech Jobs & Startup Jobs

Build and launch enterprise AI products using AI-assisted development, agentic systems, LLMs, RAG, workflow automation, and cloud-native architectures. Rapidly prototype strategic concepts, create production-ready solutions, develop reusable AI components, and identify automation opportunities. Partner with engineering, architecture, security, and platform teams to transition prototypes into production while shaping the enterprise AI roadmap and advising executives on emerging technologies and build-versus-buy decisions.

Leads the architecture, development, and deployment of enterprise-scale AI systems and platforms. Defines technical direction, architecture standards, governance, monitoring, evaluation, and responsible AI practices. Drives AI modernization of legacy systems through code transformation and service decomposition, implements AI-enabled software development practices, and partners with engineering teams to improve productivity and performance. Provides hands-on technical leadership, mentorship, and influence across enterprise technology decisions.

Provides advanced sales and service support to Medicare brokers and regional sales managers. Responsibilities include broker engagement, recruiting non-Medicare brokers, coordinating training and meetings, supporting advertising and health risk assessment campaigns, managing reports and disenrollment requests, onboarding brokers, conducting outbound campaigns, and handling special projects.

Manages business change initiatives and testing programs, including stakeholder coordination, test planning, scheduling, case development, execution oversight, defect triage, retesting, test data management, status reporting, and process improvement. The role leads onshore and offshore testing resources, identifies project risks and impacts, and develops processes and systems supporting business needs.

Leads enterprise AI and machine learning strategy, designs and scales production systems, translates business challenges into measurable AI outcomes, establishes governance and technical standards, and mentors data science and machine learning teams. Responsibilities span model training, evaluation, deployment, monitoring, lifecycle management, and collaboration with business and technology leaders.

Develop and maintain financial models and analyses to evaluate reimbursement methodologies, pricing strategies, and contract performance for specialty and infusion pharmacy across commercial, Medicare, and Medicaid payors. Support contract negotiations, RFPs, and strategic initiatives; partner with cross-functional teams; and create reports and dashboards to communicate pricing performance and recommendations.

Lead enterprise PCI DSS compliance activities: interpret controls, validate scope and evidence, support ISA/QSA assessments, manage remediation and third-party responsibilities, design testing plans, support audits (PCI, HIPAA, HITRUST, SOC 2, NIST), mentor analysts, improve compliance processes and tooling, and provide technical architecture and incident response support.

Leads enterprise compliance learning strategy, governance, implementation, measurement, reporting, audit readiness, communications, vendor management, and continuous improvement. Partners with Compliance, Legal, Regulatory Affairs, Risk, Privacy, Information Security, HR, Internal Audit, Communications, and business leaders to translate requirements into effective, auditable learning programs. Develops executive dashboards, manages stakeholders, and advises leaders on compliance learning strategy in a regulated healthcare environment.

Manages a large litigation caseload, coordinates with outside counsel, advises internal business leaders, assesses and mitigates legal and business risks, provides strategic legal recommendations, and briefs senior management. The role also guides junior attorneys and paralegals, manages complex legal matters, and supports initiatives aligned with organizational objectives.

Develops and integrates advanced statistical, mathematical, predictive modeling, and business analysis capabilities for AI initiatives. Advances AI theories, techniques, and technologies; analyzes complex datasets and data sources; and collaborates on research published in peer-reviewed journals and external conferences. The role emphasizes Agentic AI, MCP, AI agents, multi-agent reasoning, and multi-agent architecture.