AI Solutions Senior Specialist
Listed on 2026-09-05
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
AI Solutions Senior Specialist
Conshohocken, Pennsylvania, United States
Onbe, a fast-growing Fin Tech, 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 Fin Ops, 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.
- 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.
- 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…
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