Top Tech Jobs & Startup Jobs

Lead strategy, architecture, and execution of enterprise IAM platforms for SaaS products. Define multi-year roadmaps, modernize authorization (ReBAC/ABAC/Policy-as-Code), support human and non-human identities, oversee architecture and operations, mentor engineering leaders, drive AI-enabled engineering practices, and align IAM capabilities with security and business priorities.

Develop and deploy scalable data science products using machine learning, generative AI, NLP, statistical modeling, and predictive analytics. Analyze complex datasets, manage end-to-end modeling workflows, communicate insights through dashboards and presentations, and partner with engineering teams on production deployment. Provide technical guidance, apply responsible AI and model governance practices, and evaluate emerging technologies for business and clinical outcomes.

Provides full-cycle recruiting across multiple disciplines, developing sourcing and selection strategies, managing high-volume requisitions, screening candidates, sourcing passive talent, coaching hiring managers, supporting affirmative action compliance, and managing the candidate experience. Uses Workday Recruit and AI-enabled tools while building knowledge of organizational objectives, industry trends, and labor-market dynamics.

Leads the design, development, and deployment of advanced data science, machine learning, generative AI, and agentic AI solutions. Builds scalable analytics products, RAG systems, and evaluation frameworks; establishes technical standards and responsible AI governance; mentors data scientists; and partners with engineering teams to deploy and monitor production solutions. Translates complex analyses into actionable clinical, operational, and economic insights while guiding technical strategy and client-focused initiatives.

Coordinates regulatory and accreditation program services across operations, sales, education, and client engagement. Responsibilities include proposal and sales support, client onboarding, business growth initiatives, training, client inquiries, performance reporting, contract and revenue tracking, educational program logistics, marketing collaboration, and process improvement. The role requires strong organization, communication, data analysis, and project coordination skills.

Lead architecture and development of scalable, secure systems; set engineering standards and CI/CD practices; mentor engineers; drive SRE/DevOps collaboration; adopt AI/ML tools; own incident response, root-cause analysis, performance optimization, IaC and cloud-native improvements; align technical roadmaps with product and business goals.

Design, build, and support scalable backend systems, cloud infrastructure, and data platforms to deploy ML models, LLMs, RAG pipelines, and healthcare analytics. Develop data pipelines, CI/CD, containerized deployments, and monitoring while ensuring security, performance, and engineering standards. Collaborate with cross-functional teams and mentor engineers.

Design, develop, and support scalable backend services, cloud infrastructure, and data platform capabilities for AI/ML and healthcare analytics. Deploy and maintain ML models, LLMs, RAG pipelines, and production workflows using infrastructure-as-code, containerization, CI/CD, and observability practices. Mentor teammates and collaborate with product, data, and security teams.

Serves as the primary strategic partner for assigned non-acute healthcare clients, guiding onboarding, adoption, and utilization of procurement solutions. Manages client relationships, analyzes purchasing and savings data, delivers executive-ready insights, coordinates internal resources, resolves challenges, and supports retention and growth. Maintains CRM records and contributes to client services processes and best practices.

Provide architectural leadership for Vizient’s sourcing and contracting technology portfolio. Design secure, scalable, resilient enterprise architectures across applications, APIs, integrations, cloud platforms, data, identity, and security. Guide engineering teams, establish architecture standards, evaluate emerging technologies, lead proofs of concept, ensure governance and compliance, and drive the long-term evolution of cloud-native platforms. Collaborate with Product, Engineering, Security, CloudOps, Enterprise Architecture, clients, and implementation partners.