Senior Director and Lead Counsel, Privacy, AI & Cybersecurity PegasystemsSenior Director and Lead Counsel, Privacy, AI & CybersecurityNew York, NY$235,000–$364,900 / yearProvide legal guidance on compliance matters relating to data privacy, cybersecurity and AI governance and compliance, including staying current with relevant global regulatory and legislative changes including the European Digital Operations Resiliency Act, the Singapore Digital Operations Resiliency Act, Brazilian privacy law. As a member of the Pega Legal team, you will report to the Chief Legal Officer and serve as the Company’s lead lawyer and strategic leader for Pega’s global privacy, cybersecurity and AI governance and compliance, as well as manage a team of legal professionals in this subject matter area.
Director, Data Scientist - Generative AI Systems Discover Financial ServicesDirector, Data Scientist - Generative AI SystemsNew York, NY$269,100–$307,200 / yearAs a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics.
Senior Director, Business Development - AI Ecosystem HealthVeritySenior Director, Business Development - AI EcosystemNew York, NYRemote$200,000–$247,000 / yearHealthVerity's Partners vertical develops strategic and commercial relationships with industry-leading consulting, analytics, technology and financial services firms that focus on a wide array of healthcare and life sciences use cases. Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job.
Software Developer AI - Remote Levi, Ray & ShoupSoftware Developer AI - RemoteNew York, NYRemote$65–$75 / hourThe ideal candidate will bring strong software engineering experience, a collaborative approach, and an interest in leveraging emerging technologies to solve business and technical challenges. This role will contribute to the design, development, enhancement, and maintenance of modern applications and cloud-based solutions using.
AI & Data Co-Op (Northeastern University), Spring 2027 – Purchase, NY, US MastercardAI & Data Co-Op (Northeastern University), Spring 2027 – Purchase, NY, USPurchase, NYExamples include: 1. building AI systems that support safer, smarter, and more personal commerce 2. developing shared data platforms and lakehouse capabilities to accelerate innovation 3. improving data discoverability, quality, and lifecycle management 4. advancing AI deployment, monitoring, and operations at enterprise scale 5. supporting new AI ideas through a structured AI intake and prioritization process. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and.
Director, Product Management - Enterprise AI/ML Discover Financial ServicesDirector, Product Management - Enterprise AI/MLNew York, NY$209,500–$239,100 / yearThe Director of Product Management - Enterprise AI/ML will lead a product team spanning the Machine Learning and AI platforms at Capital One, and will be responsible for the capabilities that enable Capital One associates to train and serve Models and Generative/Agentic AI applications that power our business. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Director, Product Management- Enterprise AI Discover Financial ServicesDirector, Product Management- Enterprise AINew York, NY$209,500–$239,100 / yearCurrently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field). As a Director on the Associate Experience product team you will embark on the mission to connect customers in the Capital One enterprise (i.e., our employees, or Associates) with simple to use, digitally enriched experiences that are designed to enhance the associate experience.
NewAI Engineer Kforce Inc.AI EngineerNew York, NY$45–$55Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction; Knows how to structure context, manage token limits, and validate AI outputs. They need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release.
Senior/Staff/Principal AI/ML Engineer - Agentic AI Security AppGate Cybersecurity, Inc.Senior/Staff/Principal AI/ML Engineer - Agentic AI SecurityNew York, NY$180,000–$300,000 / yearMLOps & Productionization: Experience building and operating scalable MLOps platforms for AI/ML systems, including model lifecycle management, CI/CD for ML pipelines, feature stores, automated retraining, model monitoring/drift detection, experiment tracking, and deployment orchestration using Kubernetes, MLflow, Kubeflow, SageMaker, or equivalent tooling in high-throughput production environments. • AI Agent Security: Define and implement security controls for autonomous AI agents, including detection of agent drift, unauthorized resource access, prompt injection attacks, privilege escalation, data leakage, and other emerging threats in Agentic AI systems.
AI Solutions Architect with GenAI & Enterprise AI Strategy - Remote The Dignify Solutions, LLCAI Solutions Architect with GenAI & Enterprise AI Strategy - RemoteWarren, NJRemote3+ Years in Generative AI and LLM-based Architectures. Open-source LLM ecosystems.
2027 Technology, Data, AI & Ventures Summer Internship Program - AI Engineer (MLOps) Intern New York Life Insurance Co2027 Technology, Data, AI & Ventures Summer Internship Program - AI Engineer (MLOps) InternNew York, NY$30–$35 / hourAcross technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader with the opportunity to work with leading-edge technologies and help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. Example projects include designing and testing new patterns for model deployment using Python APIs, improving MLOps and DevOps platforms through dashboards and monitoring tools like New Relic, and contributing to automation frameworks that ensure model reliability and performance at scale.
Senior Associate - Quality Engineer, AI & Automation New York Life Insurance CoSenior Associate - Quality Engineer, AI & AutomationNew York, NY$81,000–$115,500 / yearThe right candidate will design and build automated test frameworks, review developer unit test strategies, improve CI/CD quality gates, analyze defect patterns, and partner with engineers and product owners to make systems more testable, observable, resilient, and business-ready. The role requires enough business fluency to know where quality risk hides: in account data, householding, balances, holdings, transactions, suitability-sensitive workflows, integrations, reports, and downstream advisor/client experiences.
Senior Full-Stack AI Engineer Lead Highbridge Consulting LLCSenior Full-Stack AI Engineer LeadParamus, NJRemoteOur client is a leading global provider of environmental, energy and sustainable infrastructure solutions, with a strong presence across North America. The company helps communities and businesses manage critical water, waste and energy services while driving sustainability and innovation.
Director Of AI, Dating Outcomes Match GroupDirector Of AI, Dating OutcomesNew York, NY$252,000–$323,000 / yearERGs: We have eight Employee Resource Groups (ERGs)-Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents -that hold regular meetings, host events, and provide dedicated support to the organization & its community. The problems sit at the intersection of human behavior, sparse real-world signals, and a two-sided ecosystem of people who are not interchangeable, a different kind of ML challenge than most people in this industry have had the chance to work on.
Applied AI Engineer Kaizen LabsApplied AI EngineerNew York, New YorkBuild AI powered internal systems in the mold of Bidbuddy: document parsing and analysis, agentic workflows, automated research and routing, and tooling that turns hours of manual work into minutes. Kaizen is about 40 people supporting software that reaches 40 million residents across 50+ agencies in 17 states, and the only way that math holds is if the company runs on tools instead of hours.
AI Developer Poel Group Staffing Inc.AI DeveloperBrooklyn, NYA growing company is looking for an experienced AI Developer to design and build a custom AI-powered software solution for internal use. Work closely with company leadership to understand business needs and translate them into practical AI solutions.
AI Product Engineer BdiplusAI Product EngineerNew York, NY$100,000–$120,000You will work across the full technology stack, developing user-facing functionality, backend services, APIs, data integrations, and platform components while incorporating AI capabilities such as agents, agentic workflows, RAG, LLM pipelines, embeddings, and vector search where they add value to the product. This is a hands-on product development role requiring extensive full stack engineering experience, strong system design skills, and the ability to build products from architecture through production.
AI Solutions Specialist Levelpath IncAI Solutions SpecialistNew York City, NY$130,000–$160,000 / yearYoull spend your time working directly with enterprise procurement teams - learning how they operate, reading their policies and process documents, and translating what you learn into AI configurations that make the platform behave correctly for their environment. Youll probably be great at this if you: Have real experience working directly with customers - youve owned a relationship, managed expectations, and navigated the messy reality of enterprise accounts.
Senior Product Manager, AI Search & Discovery Datasite LLCSenior Product Manager, AI Search & DiscoveryNew York City, NY$100,600–$169,800 / yearAs a Senior Product Manager at Grata, you'll collaborate with cross-functional teams to deeply understand customer needs, prioritize the highest-impact opportunities, and work closely with engineering to deliver high-quality experiences. We're looking for an experienced Senior Product Manager, AI Search & Discovery to lead the development of Grata's core discovery engine - how dealmakers search, explore, and build conviction on the right companies.
Staff AI Platform Engineer: Agent & Retrieval Infrastructure Bedrock Ocean ExplorationStaff AI Platform Engineer: Agent & Retrieval InfrastructureBrooklyn, New York$160,000–$220,000 / yearPractical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data.