[Remote] AI Solutions Engineer

Note: The job is a remote job and is open to candidates in USA. Verita is hiring an AI Solutions Engineer to identify high-friction workflows and redesign them using AI. The role builds reusable prompts, automations, integrations, and other solutions, while measuring results and partnering with teams to address access and infrastructure needs.

Responsibilities

• 1.Discover & record. Embed with a team, shadow and record how the work actually gets done, and find the high-volume, high-friction, rules-heavy workflows worth rewiring
• 2.Define the SOP before AI. Make the current process explicit — you can't improve what you haven't written down
• 3.Engineer the AI-driven SOP — human-in-the-loop. Redesign the workflow around AI, keeping review and approval checkpoints wherever judgment, risk, or client trust require them. AI drafts; humans own
• 4.Build the assets. Turn the redesign into reusable capability — prompts, playbooks, harness workflows, automations (n8n / ChatGPT / Claude / agentic tooling), and small bespoke apps or integrations. You'll be able to work with developers as complex scenarios arise
• 5.Capture the win. Help employees log board-grade wins in the AI Wins Tracker, convert their hurdles into wins, and package repeatable patterns into the shared playbook / prompt library for other teams
• 6.Clear the path. Partner with IT, security, and infrastructure on access, connectors, and permissions; escalate recurring blockers into infrastructure and policy asks
• 7.Create the moments people remember. Notice the task someone dreads and build the thing that makes it disappear — the tailored touch that produces trust and success
• 8.Business & Customer workflows — operations across TFS, Class Action, Restructuring, and customer-facing teams: document and case work, claims, proposals, correspondence, support
• 9.Internal & Technical workflows — automation, reporting, data plumbing, and agentic development /QA enablement for the technical teams

Skills

• Hands-on fluency with modern AI assistants — ChatGPT and Claude (Desktop / Code / agentic modes) — used daily to get real work done, not just demoed
• Prompt engineering — you can design, test, and iterate prompts and reusable prompt libraries that hold up in production, and you understand context, tools, and where models fail
• Workflow automation fluency (n8n / Zapier / similar) — you can build working automations end-to-end, including multi-step flows, triggers, and API calls
• Working with APIs and integrations — you can read API docs, wire systems together with
• REST/webhooks/auth, and move data between tools without hand-holding
• Light scripting / building — comfortable enough in C#, SQL & JavaScript (or a low-code equivalent) to build small apps, scripts, and glue, and to read code others wrote
• Process mapping — you can sit with a team, extract how the work really happens, and write a clear SOP before you touch AI
• Data literacy — spreadsheets, structured data, and basic SQL; you can quantify a before/after and defend the number

Benefits

• Remote work

Company Overview