Top Remote Jobs in Cincinnati, OH

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Provide end-to-end HubSpot consulting: discovery, requirements translation, implementation, testing, data cleansing/imports, post-go-live support, and proactive client relationship building. Tackle code-related tasks and work in agile sprints to deliver solutions and ensure user adoption.

Manage the full customer lifecycle for public sector accounts, from onboarding through renewal. Build relationships across government organizations, drive adoption and retention, identify expansion opportunities, handle escalations, and advocate for customer needs. Use AI, BI tools, and data analysis to monitor account health and inform account strategies. The role requires executive communication, change management, cross-functional collaboration, and up to 80% travel for on-site customer engagement.

Leads Gartner research and advisory services for Chief Audit Executives and internal audit teams. Develops thought leadership, market insights, audit strategy guidance, presentations, and client recommendations. Conducts research, analyzes trends, supports sales engagements, reviews content, mentors analysts, and improves research processes. Requires deep internal audit expertise, executive presence, strong writing and presentation skills, and willingness to travel up to 25%.

Leads the strategy, architecture, and implementation of AI-enabled QA capabilities across internal practices and client engagements. Responsibilities include researching AI QA technologies, designing reference architectures, supporting sales and delivery, developing reusable accelerators, managing technology partnerships, creating marketing collateral, and mentoring QA teams. The role requires extensive QA and automation experience, hands-on AI/ML or GenAI expertise, consulting ability, executive communication, and experience with proposals, proofs of concept, demos, and technical solutioning.

Conduct full-cycle recruiting for technical and digital experience roles, especially Adobe Experience Cloud positions. Partner with hiring managers, define candidate profiles, source through LinkedIn Recruiter and Boolean searches, screen applicants, manage pipelines, coordinate interviews, support offer negotiations, maintain ATS data, and report recruiting progress. The role requires deep Adobe ecosystem recruiting expertise and strong stakeholder communication.

Lead Recruiter sources, screens, and hires healthcare professionals using job boards, social media, and ATS. Partners with hiring managers, schedules interviews, negotiates offers, manages onboarding, maintains candidate records, and represents the company at recruitment events to expand the talent pipeline.

Provides legal guidance on mergers and acquisitions, contract negotiations, corporate governance, and related matters. Responsibilities include drafting and negotiating agreements, conducting M&A due diligence, advising on legal and regulatory issues, collaborating with business partners, overseeing outside counsel, and monitoring legal developments. The role requires a law degree, bar licensure, and at least four years of legal experience, with M&A expertise required and financial services or securities law experience preferred.

Leads multiple engineering teams delivering AI-powered data connectivity solutions. Owns execution, delivery, technical direction, operational reliability, and cross-team coordination. Develops engineering talent through coaching, hiring, and performance management while partnering with Product and Engineering leadership on priorities and organizational planning. Guides architecture, cloud-native development, incident response, SLOs, and AI-assisted software development practices. Requires strong Java/Kotlin expertise, cloud architecture experience, and technical judgment across distributed systems.