AI Solutions Engineer

Verita; United States; Remote; USD 125,000 - 145,000; Full time

Job summary

Verita is seeking an AI Solutions Engineer who embeds with business teams to rewire processes with AI, delivering end-to-end solutions from discovery to measurable impact. You will work on an elite generalist path addressing high-value friction and ownership across multiple workflows.

In this role, you’ll design SOPs, build AI-driven automations, and partner with IT/security to scale solutions across the organization.

Qualifications

• Hands-on fluency with modern AI assistants (ChatGPT/Claude) used daily for real work.
• Prompt engineering: design, test, and iterate prompts and reusable libraries.
• Workflow automation fluency with no-code/low-code tools and multi-step flows.
• Reading API docs and wiring systems with REST/webhooks/auth.
• Data literacy: structured data and basic SQL to quantify outcomes.

Responsibilities

• Discover and record existing workflows with a team to identify high-friction areas for AI rewrites.
• Define the SOP before AI implementation to explicit current processes.
• Engineer AI-driven SOPs with human-in-the-loop and governance checkpoints.
• Build assets: prompts, playbooks, automation, and small integrations; collaborate with developers as needed.
• Capture wins and document reusable patterns for sharing across teams.
• Clear the path by coordinating with IT, security, and infrastructure on access and blockers.
• Create moments that improve trust and efficiency in the business.
• Address both business/customer workflows and internal/technical automation across platforms.

Skills

AI assistants

Prompt engineering

Workflow automation

APIs integration

Data literacy

Education

High school diploma

Tools

n8n

Zapier

REST APIs

Job description

• Base Pay $125,000.00 - $145,000.00 / Year
• Employee Type Exempt FT
• Required Degree High school
• Travel 5%
• Manage Others No

Description

AI Solutions Engineers are the hands of the AI program. You embed beside a business team, understand their work deeply, and rewire it with AI — then hand the result over and measure the win. This is not a help desk and not a build queue: you're an elite generalist deployed to the highest-value friction in the company, owning problems end-to-end, from discovery sessions to the working solution to the story of what it saved.

Primary Job Duties

1. 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. 2.Define the SOP before AI. Make the current process explicit — you can't improve what you haven't written down.
3. 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. 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. 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. 6.Clear the path. Partner with IT, security, and infrastructure on access, connectors, and permissions; elevate recurring blockers into infrastructure and policy asks.
7. 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. 8.Business & Customer workflows — operations across TFS, Class Action, Restructuring, and customer-facing teams: document and case work, claims, proposals, correspondence, support.
9. 9.Internal & Technical workflows — automation, reporting, data plumbing, and agentic development /QA enablement for the technical teams.

Requirements

• 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.
• 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.