Top AI Automation Jobs in NYC, NY

Serve as the final technical authority for platform escalations: diagnose root causes using logs and system analysis, validate platform behavior pre-release, detect systemic incidents, drive technical resolution for Sev1/Sev2 events, and build diagnostic tooling and automation while mentoring the support function.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

Build, deploy, and maintain production-grade AI-powered automations that connect systems and automate processes. Partner with stakeholders to scope requests, write integration code, monitor workflows, troubleshoot failures, and document solutions for maintainability.

Own and administer Salesforce and NetSuite while designing and deploying production-grade AI-driven automations and agent workflows. Ensure data governance, PHI/HIPAA compliance, release management, and quote-to-cash integrity. Partner cross-functionally to prioritize work, coach teams, document systems, and measure impact of automation on operations and revenue.

The AI Enablement Associate will support AI tool rollout, document workflows, track adoption metrics, and collaborate with stakeholders to enhance AI solutions for Wealth Management. Engagement and training of Financial Advisors are key responsibilities, alongside managing adoption initiatives and synthesizing user feedback.

Lead Copia's AI product line: own Copilot, define AI roadmap from code intelligence to autonomous agents, write specs, partner with engineering, GTM, and CEO, and monetize AI features for industrial automation customers.

The Director of AI & Automation leads the development and execution of AI strategies, manages automation initiatives, and ensures compliance in a healthcare-affected environment to enhance operational efficiency at GT Independence.

Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams.

Lead North's integrations strategy and execution: prioritize, ship, and drive adoption of connectors and ecosystem tooling. Partner with customers and engineering to convert integrations into reusable platform capabilities (auth, connector framework, data sync, permissions). Define developer/partner experience (APIs, SDKs, plugins) and instrument analytics to measure adoption, time-to-stand-up, and retention.

Senior AI leader responsible for defining enterprise AI strategy, prioritizing high‑value use cases across underwriting, pricing, claims and operations, building an AI organization, partnering with technology/data/risk teams, ensuring regulatory compliance, and driving adoption and measurable business outcomes.

Lead cross-functional programs to design and automate AI/ML governance for generative and agentic models. Develop program plans, risk mitigation, scalable controls, playbooks, and stakeholder alignment to accelerate model lifecycle delivery while ensuring compliance, quality, and responsible AI practices.

Lead delivery, adoption, and expansion of Unframe's LLM-powered AI solutions for enterprise customers. Manage multi-stakeholder projects, coordinate internal teams, measure adoption and business impact, run enablement and training, and surface new use cases to drive platform expansion and inform product roadmap.

Lead global internal audit coverage for data governance, AI risk management, and infrastructure. Define and execute audit strategy, manage and develop a high-performing audit team, engage senior stakeholders, produce audit findings and reports, and drive adoption of data analytics and automation in audit testing to improve assurance efficiency and compliance with evolving regulations.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

Lead and grow an Applied AI engineering squad to design, build, and ship GenAI-powered features across Copia's products. Define strategy and roadmap, oversee architecture (frontend, backend, APIs, LLM integration, RAG), ensure reliability and operational quality, mentor engineers, manage hiring and performance, and promote responsible AI practices in a safety-critical domain.

Build and ship AI-native systems for a fintech app: AI agents, RAG/retrieval systems, tool-calling and automation for onboarding, KYC, support, risk, CRM and operations. Work with product and engineering to design reliable, low-hallucination, cost- and latency-aware solutions and turn manual processes into scalable AI-enabled systems.

Lead strategy and execution of AI, automation and GenAI initiatives for Finance. Partner with finance leaders and technology teams to discover opportunities, design and deploy AI/NLP solutions, define governance, measure KPIs/ROI, and drive stakeholder adoption and ethical, compliant implementation.

The Capital Partners AI Transformation Leader develops and executes AI strategies for productivity gains and business insights, ensuring integration into workflows and alignment with organizational goals.

Define and drive the product vision, roadmap, and backlog for an AI-powered campaign analytics platform. Translate campaign measurement needs into epics, requirements, and success metrics; prioritize high-value use cases; ensure data and integration readiness; design explainable AI user experiences; and lead Agile delivery with cross-functional partners to deliver measurable marketing outcomes.

Define and own product strategy and roadmap for AI-driven digital experiences. Translate business needs into requirements, prioritize backlog, partner with engineering and design, use data and AI insights to drive personalization, experimentation, and optimization, and monitor post-launch performance while ensuring cross-functional alignment and regulatory/risk considerations.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

Lead first-line risk and controls for Enterprise Data & AI, embedding risk management into technology delivery. Identify, assess, monitor, and report operational and technology risks for data, AI, platforms, and delivery pipelines. Partner with risk, compliance, product, engineering, and audit teams to evaluate controls, improve governance, and drive automation and continuous improvement.

Own end-to-end trial execution from intake through results delivery and handoff into deployment. Translate customer needs into operational workflows, track and improve trial metrics, diagnose performance issues, drive cross-functional corrective actions, and build repeatable AI-enabled playbooks, automation, dashboards, and handoffs to scale trial operations.

Manage and scale a high-signal community of advanced ChatGPT Pro users by designing programs, onboarding and supporting expert users, running technical office hours and demos, surfacing product feedback, documenting workflows and use cases, producing editorial case studies, and partnering with product, research, and developer experience teams.