Top Tech Jobs & Startup Jobs

Design, develop, test, and maintain cloud-native, API-driven AI/ML software solutions. Lead technical delivery, design scalable architectures, implement AWS-based deployments, productionize ML/GenAI applications, and collaborate with stakeholders to translate business needs into secure, maintainable systems.

Performs internal audits of Operations processes and controls, including design and operating effectiveness testing. Identifies risks, control gaps, and process improvement opportunities; documents testing results and recommendations; collaborates with business partners and management on audit findings, continuous risk assessments, and remediation actions.

Direct IT audit leadership covering cybersecurity, artificial intelligence, cloud infrastructure, resiliency, governance, and operating systems. Own audit planning, risk assessment, testing, reporting, and project oversight while coaching auditors and advising business partners. Develop perspectives on emerging technology risks and apply data analytics, automation, visualization, and AI to audit execution. The role requires deep technical expertise, strong communication, project management, critical thinking, and experience auditing AI-related risks.

Design, implement, and maintain enterprise Windows endpoint management using Microsoft Intune and Autopilot. Develop PowerShell and Microsoft Graph API automation for provisioning, compliance, and reporting. Administer Windows 11 environments, enforce endpoint security and compliance controls, support migrations from Workspace ONE, and lead Tier 3 troubleshooting and remediation across large enterprise device fleets.

Design, implement, and maintain enterprise Windows endpoint management using Microsoft Intune. Lead Windows 11 engineering, Autopilot provisioning, automation with PowerShell and Microsoft Graph API, endpoint security/compliance, migration from Workspace ONE, advanced troubleshooting, and Tier 3 support for large enterprise device fleets.

Lead engineering and operations for the enterprise Windows endpoint platform, managing a distributed team to design, deploy, secure, and modernize Windows endpoint services (imaging, provisioning, lifecycle, patching, and automation) while partnering with security and infrastructure teams to ensure reliability and compliance for thousands of endpoints.

Lead a team building and maintaining quantitative models for agency MBS valuation, prepayment, and market-risk. Manage model lifecycle from research and calibration to implementation, monitoring, validation, and production support. Translate quantitative results for stakeholders, drive model modernization (including AI-enabled automation), and coach team members.

Use the Nexthink platform to analyze endpoint telemetry for Windows and macOS, build telemetry-driven visibility and automated remediation, create Nexthink content (investigations, workflows, alerts, dashboards), integrate Nexthink with ServiceNow, and collaborate with endpoint and support teams to improve employee digital experience and operational efficiency.

Advise Audit and cross-functional teams on data science and AI solutions: design, build, test, validate, and monitor models and GenAI workflows; create reusable analytics and automation on AWS; drive continuous monitoring, risk detection, and automated evidence generation; communicate technical strategy and findings to senior leaders; promote governance, model risk management, and best practices.

Lead development and delivery of Fannie Mae's enterprise AI platform capabilities, balancing innovation with security, governance, and cost controls. Own product vision, roadmaps, and core services (models, tooling, agent runtimes), partner with engineering, security, finance, legal, and business teams, onboard priority use cases, and drive adoption through strong stakeholder engagement and developer experience.