Top AI Automation Jobs in NYC, NY

The Sr. Director will develop a technical learning ecosystem, partner with stakeholders to create learning initiatives, and manage talent pipelines.

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.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

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 strategy, design, and delivery of AI and digital products from ideation through scaling. Define roadmaps, integrate AI/ML and data into products, ensure data quality and governance, manage cross-functional teams, monitor KPIs, and ensure ethical, secure, and compliant deployments that drive measurable business outcomes.

Lead enterprise AI product strategy and roadmap, prioritize high-value GenAI and agent-based use cases, translate business needs into product requirements, and partner with data, engineering, architecture, and governance to deliver scalable, production-ready AI solutions that drive measurable business outcomes and adoption.

The EVP, AI Transformation will lead BGB's AI-first operational model, redesign workflows, implement intelligent systems, and drive technology-enabled transformation across the organization for enhanced client value and competitive differentiation.

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.

The Senior Technical Product Manager leads the development of AI-enabled digital products, collaborating with stakeholders and managing the product lifecycle to drive business results.

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.

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.

The VP of AI Software Engineering will lead AI-driven technologies for software quality improvement and platform reliability, oversee AI solutions design and delivery, mentor engineering teams, establish governance, and collaborate with stakeholders to integrate AI solutions in software development processes.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The Partner Value Solution Engineer empowers partners by providing technical guidance, developing enablement programs, and managing relationships to enhance the selling and delivering of NiCE solutions, particularly within AI and customer experience technologies.

The role leads AI adoption across business functions, prioritizing use cases, building business cases, and driving organizational change necessary for successful implementation. It requires collaboration with IT leadership and the presentation of ROI to business stakeholders.

Ship full‑stack features end-to-end using AI coding agents, drive architecture and technical direction, collaborate with Product and Design, write scalable maintainable code, mentor engineers, document work, and translate industrial automation customer problems into engineering tasks.

Lead onboarding and implementation of AI solutions in banks. Manage customer transformation journeys, ensure project alignment, and facilitate engagement with stakeholders to achieve maximum ROI.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

Lead intake, prioritization, and stakeholder engagement for enterprise AI opportunities; translate business problems into evaluable AI use cases, align to strategy and governance, define KPIs/ROI, and coordinate with execution teams and vendors to ensure responsible, feasible AI adoption.

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.

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.

Lead design, implementation, and governance of AI-assisted workflows across Finance, Tax, Treasury, and Risk. Develop prompts and agent logic, create automation documentation and guardrails, validate AI outputs for compliance, map and translate processes into requirements, partner with Technology to productionize solutions, provide hands-on configuration and testing, and support training and stakeholder adoption.

Lead AI and sales automation product efforts for Salesforce: translate business needs into Jira stories, design automations and integrations, coordinate UAT, consolidate data sources, and build AI-driven solutions to reduce manual CRM administration. Occasional hands-on scripting for simple automations.

Lead and grow an engineering team to design and deliver AI-driven, spec-based automation for media workflows (MAM, ingest, transcoding, streaming, broadcast). Own AI roadmap, integrate LLMs/agents into production, improve CI/CD and developer tooling, enforce security best practices, and partner with product and operations to scale autonomous media automation systems.

Lead the design and delivery of agentic AI systems, managing a team to create AI-powered workflows that improve client experiences with data and reporting.