AI Solutions Engineer

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.

Job Duties

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

Qualifications

• High School Diploma required
• 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.
• The human skills - discovery interviewing, active listening, change management, and clear writing. You can turn a messy workflow into a story a skeptic will buy.
• Deeper software engineering - full-stack build skills, version control (Git), and the ability to stand up a real bespoke app or integration when the win demands it.
• Agentic development & QA - experience with agentic coding tools and using AI to build/test software (directly relevant to the Internal & Technical role).
• Retrieval, RAG, and knowledge tooling - building assistants over a company's own documents and data.
• Cloud & enterprise platforms - Azure (Foundry a strong plus), Microsoft 365 / Power Platform, or comparable enterprise stacks.
• Domain exposure - legal, fiduciary, financial, claims, or other regulated / document-heavy operations (TFS, Class Action, Restructuring adjacent).
• A track record of shipping - a former founder, internal-tools builder, consultant, or "the person who automated their own job" - evidence you take an idea to a working result.
• Governance & security awareness - you build with data sovereignty, access, and audit in mind, not as an afterthought.