Top AI Automation Jobs in NYC, NY

Leads the analytics and artificial intelligence strategy for Auto Commercial Solutions, overseeing data scientists and quantitative analysts. The role develops machine learning, predictive analytics, generative AI, experimentation, governance, and scalable data products to improve dealer acquisition, relationship growth, sales effectiveness, portfolio performance, and commercial lending opportunities. It partners with senior leaders across product, technology, risk, finance, and sales while translating complex insights into business recommendations and building a high-performing analytics organization.

Lead the AI and intelligent automation strategy for Tax operations, including governance, operating model design, roadmap development, and end-to-end solution delivery. Partner with business and technology stakeholders to design, deploy, and continuously improve automation capabilities. Track operational benefits through metrics and dashboards, manage risk and controls, develop infrastructure requirements, coach team members, and support adoption of AI-enabled analytics and workflow automation.

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.

Develops AI and automation solutions for IT asset management, including stakeholder agents, anomaly detection, data quality improvements, predictive asset insights, data modeling, dashboards, and regulatory reporting. Leads resiliency review sessions, recommends actions within risk tolerances, translates business needs into data-rich outputs, and presents findings to diverse audiences. The role also supports infrastructure compliance, process improvement, project planning, and production support.

Design and implement AI agents, plugins, automations, and enterprise integrations for HR Technology platforms. Lead requirements gathering, technical analysis, solution design, testing, documentation, deployment, security, and data integrity efforts across HR, IT, and business stakeholders. Integrate platforms including ServiceNow, Workday, and other enterprise applications while supporting the HR automation and AI roadmap.

Leads enterprise data enablement, generative AI adoption, and automation strategy. Designs AI-enabled workflows, agentic assistants, integrations, ETL processes, and scalable business-process automations. Partners with data science, engineering, product, and business teams to embed onboarding, contextual guidance, and adoption measurement into data and AI products. Establishes feedback loops, monitors performance, ensures responsible healthcare deployment, and mentors teams while translating emerging technologies into measurable operational improvements.

Leads the Finance team’s AI strategy, roadmap, governance, and implementation of AI/ML, NLP, GenAI, automation, and robotics initiatives. Partners with finance, technology, CFOs, vendors, and enterprise stakeholders to identify opportunities, deploy solutions, manage programs, measure ROI, promote adoption, and ensure ethical and regulatory compliance.

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.

Lead AI Hub strategy by translating enterprise priorities into AI use cases, business cases, roadmaps, KPIs, and execution plans. Assess AI opportunities, feasibility, value, risks, controls, and adoption readiness while partnering with Product, Engineering, Data, Operations, Risk, Finance, and business stakeholders. Maintain portfolio visibility, conduct market and technology research, prepare executive communications, and independently manage strategic workstreams supporting AI-enabled platforms, automation, and process transformation.

Design and analyze rigorous messaging experiments using A/B testing and causal inference. Build measurement frameworks, data pipelines, dashboards, automated analyses, and scalable data solutions for messaging campaigns. Partner with CRM, Product, Algorithms, and Engineering teams to translate ambiguous business questions into actionable recommendations and experimentation standards. Support messaging strategy across channels, timing, content, targeting, and new business verticals.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.

Leads an agile team delivering AI and automation solutions from discovery and proof of concept through deployment, adoption, and ongoing support. Oversees data architecture, governance, cybersecurity, budgets, vendors, resource planning, and technology strategy. Partners with business and technical stakeholders to identify high-value use cases, develop investment proposals, measure ROI, and ensure scalable, secure solutions. Builds and mentors technical teams while supporting clean energy digital products and operational transformation.

Partner with enterprise finance customers to analyze workflows, identify AI and automation opportunities, define solution requirements, and support implementation. Design deployment plans, integrations, governance, model and prompt evaluations, change management, testing, and rollouts. Synthesize customer insights into scalable product opportunities, communicate impact to executives, and collaborate with Product, Engineering, and go-to-market teams.

Leads AI presales strategy, customer advisory, technical solution architecture, and team development. Translates business needs into AI use cases, prototypes, business cases, roadmaps, and repeatable offerings. Partners with sales, engineering, consultants, and technology vendors to support complex pursuits, executive briefings, demonstrations, proofs of concept, and AI business growth. Promotes responsible AI governance, tracks pipeline performance, develops thought leadership, and remains hands-on in high-impact customer engagements.

Build AI-powered software automating hiring, finance, capital planning, contract analysis, and operational workflows. Develop production features using LLM APIs, MCP servers, and agentic frameworks; integrate enterprise systems; transform expert processes into structured data and generated work; and collaborate directly with finance, legal, recruiting, accounting, and delivery teams. The role emphasizes autonomy, rapid execution, product judgment, and forward deployment with business experts.

Lead the design, testing, governance, and implementation of AI-assisted workflows across Finance, Tax, Treasury, and Risk. Responsibilities include prompt and agent logic development, process mapping, requirements gathering, AI output validation, automation documentation, stakeholder collaboration, production transition, troubleshooting, and training. The role supports scalable, compliant finance transformation using tools such as Microsoft Copilot, Claude, Alteryx, and UiPath.

Identifies business opportunities for AI and automation, gathers and documents requirements, develops business cases, supports solution design and delivery, facilitates stakeholder collaboration, assists with testing and change management, and tracks project outcomes, reporting, and benefits realization.

Leads the design, implementation, architecture, governance, and scaling of agentic automation solutions. Builds production agents using Microsoft Power Platform, Azure AI Foundry, browser automation, LLM reasoning, and Python. Establishes enterprise standards for agent reliability, security, recovery, hosting, monitoring, auditability, and human escalation while partnering with Security, Risk, and Compliance.

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.

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.

Leads company-wide AI adoption, operating the AI Center of Excellence, developing champions, running cross-functional AI sprints, delivering training, managing AI tools and budgets, and measuring workflow adoption, time savings, and financial impact. The role partners with Engineering to distribute shared AI skills, evaluates vendors, reports outcomes to executives, and publishes successful use cases across departments.

Build and operate AI-powered automation, CI/CD systems, distributed services, developer tools, validation platforms, and code-intelligence capabilities. Own significant systems from architecture through production, improve engineering workflows using measurable results, scale reliable automation and delivery platforms, and integrate capabilities through APIs and MCP. Establish operational practices, participate in on-call support, conduct technical reviews, mentor engineers, and lead cross-team delivery of dependable engineering platforms.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Leads enterprise AI and intelligent automation strategy, including Generative AI, machine learning, and RPA initiatives. Manages a multidisciplinary IT team, budgets, vendors, governance, project portfolios, and end-to-end solution delivery. Partners with business and technology leaders to identify automation opportunities, develop business cases, ensure compliance and security, and deliver scalable solutions with measurable business value. The role is hybrid in Camden, New Jersey, with 15% domestic and international travel.