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AI Solutions Senior Specialist

Conshohocken, Pennsylvania, United States

Onbe, a fast-growing FinTech, bringing innovation to a rapidly growing global marketplace, stands for “on behalf.” Because that’s exactly how we work: on behalf of our clients, as their comprehensive payments partner. We transform the way payments are imagined — as an opportunity for innovation, a source of insight to customers, and a way to connect with partners around the globe!

Summary: The AI Solutions Senior Specialist will partner with priority departments, beginning with Implementations and FinOps, to identify repetitive work and legacy business problems; map current-state workflows; design LLM-fed automation and AI-enabled workflows; build agents and automations using approved platforms; measure business impact; document best practices; train employees; and rotate to the next function. 

Key Responsibilities 

  • Observe, document, and map business workflows, including systems, handoffs, exceptions, decision points, and manual effort.
  • Identify repetitive work, process bottlenecks, legacy business problems, and opportunities to reduce avoidable operational effort.
  • Determine whether each opportunity is best addressed through standard automation, LLM-assisted workflow, agentic orchestration, or a combination of approaches.
  • Design LLM-fed automation that can classify, summarize, extract, route, validate, or structure information so it can reliably feed downstream workflows.
  • Build and configure AI agents, copilots, and workflow automations using approved platforms, including Power Automate, Glean, Microsoft Copilot Studio, Decagon, and Atlassian Rovo.
  • Use Power Automate and connected enterprise systems to streamline approvals, notifications, case creation, data movement, reporting, and other repeatable work.
  • Use Glean, Copilot Studio, Decagon, and Rovo to improve knowledge access, employee self-service, customer-service workflows, operational triage, and task execution.
  • Pilot solutions with end users, collect feedback, test edge cases, and iterate until the workflow is useful, safe, and maintainable.
  • Measure productivity gains, hours saved, cycle-time improvement, quality, adoption, reduction in manual effort, and resolution of legacy process issues.
  • Create reusable prompts, agent patterns, workflow templates, documentation, testing approaches, and governance standards.
  • Partner with People team/L&D to train employees, develop departmental champions, and support change management and adoption.
  • Maintain a prioritized AI and automation backlog, communicate progress, and rotate to the next function after the initial use case is stabilized. 

Preferred Qualifications 

  • Bachelor's degree in Business Analytics, Information Systems, Data Science, or a related field. Computer Science or Software Engineering is welcome but not required.
  • Hands-on experience with AI copilots, LLM applications, and no-code/low-code automation platforms, including Microsoft Copilot Studio, Power Automate, Glean, Decagon, Rovo, Claude, Zapier, or similar tools.
  • Ability to design LLM-fed workflows that turn unstructured inputs into reliable, reviewable automation steps.
  • Ability to map a business process and translate it into automation, agent, data, and testing requirements. This is a business-process and platform-configuration role, not primarily a software engineering role.
  • Understanding of prompt design, grounding, knowledge sources, workflow orchestration, human-in-the-loop review, and AI output evaluation.
  • Ability to identify when a use case requires technical engineering, security review, data remediation, or production support.
  • Strong communication, facilitation, documentation, and problem-solving skills.
  • Curiosity, adaptability, customer mindset, and the ability to work credibly with both business teams and technical partners 

The base salary range for this position is between $98,730 to $100,000 with eligibility for an annual bonus. The actual base salary offered depends on a variety of factors, including but not limited to the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, business needs, and market demand. Our competitive benefits includes medical, dental, vision, wellness, 401(k) matching, unlimited PTO, work from anywhere, generous parental leave, and more! Our job titles may span more than one career level. All candidates are encouraged to apply.

At Onbe, a diverse group of people, ideas, and perspectives are key to achieving phenomenal things. For over 25 years, our focus has remained on building a culture of openness and ingenuity, where employees come together to innovate and build disbursement solutions that make the lives of our clients and their consumers and workforces easier and better. Our definition of success includes celebrating differences and affirming belonging. To that end, we ask employees to come to Onbe as they are and contribute their diverse perspectives, identities, and experiences.

We believe that the recruiting phase is only the very beginning of diversity and inclusion. At Onbe, we’re constantly evolving the way we celebrate diversity every day and in everything we do. With several internal committees that are dedicated to mental and physical wellness, diversity, inclusion, and community outreach, we are committed to making a culture that is inclusive to all.

Onbe is proud to be an equal opportunity employer. We seek out ways to create a mindful workforce that embraces diversity and celebrates a culture of inclusion. We do not discriminate against employees or job applicants on the basis of race, color, ancestry, national origin, sex (including pregnancy), gender identity, sexual orientation, marital or family status, religion, age, disability, genetic information or military service. Our equal opportunity policy applies to all decisions of employment including hiring, placement, promotion or advancement, termination, layoff, recall, transfer, compensation, training and leaves of absence

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