Top Engineering Jobs in New York City, NY

Leads end-to-end technology strategy, engineering, integration, analytics, and AI capabilities for NEXUS, an enterprise Finance decision-support experience. Owns technology roadmaps, architecture, delivery, security, controls, production readiness, and measurable outcomes. Builds multidisciplinary teams, integrates capabilities across Finance workstreams, partners with senior stakeholders, manages strategic resources, and advances intelligent, persona-aware experiences using generative AI and agentic technologies.

Build production-ready software from validated prototypes and specifications using AI-assisted, agentic development workflows. Design APIs, integrations, data access patterns, and AI-enabled features; orchestrate engineering agents; develop automated tests; support deployment, observability, security, production readiness, and post-release improvement. Collaborate directly with product owners, users, domain experts, architects, data specialists, and partner engineers to rapidly refine solutions and deliver enterprise outcomes.

Leads the end-to-end technology strategy, architecture, engineering, data, analytics, automation, and AI capabilities for enterprise expense management. Partners with Finance, Technology, Architecture, Risk, and Data teams to deliver integrated transformation roadmaps, oversee multidisciplinary teams and strategic partners, ensure security and operational readiness, and drive measurable business outcomes. The role also develops talent, manages investments and delivery priorities, and modernizes finance workflows through AI-enabled solutions.

Leads the end-to-end technology strategy, roadmap, engineering, architecture, data, analytics, AI, and delivery for enterprise planning and projections across more than a dozen business lines. Oversees multidisciplinary teams, strategic partners, investment priorities, controls, security, production readiness, and transformation outcomes. Partners with Finance, Product, Architecture, Data, and Technology leaders to modernize forecasting, assumptions, scenarios, and planning workflows while advancing responsible AI and enterprise integration.

Design, modernize, operate, and support enterprise Windows 365 Cloud PC and Azure Virtual Desktop environments. Engineer host pools, images, FSLogix profiles, scaling, security, identity, networking, application delivery, monitoring, and automation. Apply Windows 11, Intune, Group Policy, patching, and endpoint security expertise while troubleshooting complex platform issues. Develop persona-based workspaces, improve user experience, document solutions, support governance, and collaborate across infrastructure, security, identity, application, and operations teams.

Own and evolve the enterprise integration platform, establish API and integration architecture standards, and lead scalable solutions across cloud and hybrid environments. Enable AI-agent, LLM, MCP, A2A, and RAG workflows with appropriate security, governance, and observability. Drive DevOps, automation, resiliency, and 24x7 reliability while mentoring teams and influencing modernization roadmaps across business, engineering, data, and AI organizations.

Hands-on senior quality engineer building automation-first test frameworks across API, UI, integration, data, and end-to-end workflows. Use AI/GenAI tools to accelerate test design, triage, and coverage. Improve unit test strategy, CI/CD quality gates, observability, and resilience. Analyze defect patterns, create quality dashboards, and partner with engineering and product to increase automation coverage and reduce escaped defects in regulated wealth management systems.

Design, modernize, and operate enterprise Windows and digital workspace platforms across physical, virtual, and cloud environments. Engineer Windows 11, Autopilot, Intune, Group Policy, security baselines, AVD, Windows 365, Azure VMware Solution, FSLogix, profiles, applications, and persona-based workspaces. Automate provisioning and lifecycle processes using PowerShell and infrastructure-as-code tools. Establish governance, monitoring, documentation, security, and operational standards while partnering with infrastructure, security, application, and operations teams.

Performs manual and automated testing for web, API, backend, and AI-enabled applications. Develops and maintains automation frameworks, executes regression suites, supports CI/CD integration, validates AI outputs, and creates test plans and cases. Tests functional, integration, system, smoke, API, UI, database, and backend workflows. Tracks defects, reports QA metrics, collaborates with Agile teams, and identifies opportunities to improve testing efficiency through AI-powered tools.

Leads enterprise Quality Engineering strategy, architecture, standards, automation, test infrastructure, and continuous validation across product domains. Establishes scalable approaches to environments, test data, automation frameworks, quality metrics, CI/CD integration, and DevSecOps. Builds a federated engineering organization, drives transformation from traditional QA, and applies AI-assisted engineering. Requires deep hands-on engineering expertise and experience delivering complex, integrated financial services platforms, especially in insurance, annuities, or wealth management.