AI Solutions Engineer

Job Type: Permanent

Infused Solutions’ client is a fast-growing AI platform serving institutional finance clients. They automate complex analyst workflows-turning days of manual work into minutes-for some of the world’s largest financial institutions.

The Role: AI Solutions Engineer

30% financial analyst (understand workflows intimately) + 30% product strategist (translate needs into solutions) + 40% hands‑on builder (prototype and ship working AI agents)

You will

• Shadow credit analysts at PE firms and asset managers, reverse‑engineer their workflows (IC memos, deal screening, portfolio monitoring, credit risk)
• Design multi‑step AI agent logic that automates those workflows
• Prototype and ship V1s in days, present to partners/C‑suite
• Manage scope, drive adoption, hand prototypes to engineers for productization

You won’t

• Build production infrastructure (that’s Product Engineers)
• Manage a team (you’re IC, hands‑on)
• Sit in an office writing requirements doc (you’re embedded with clients)

Must‑Haves

• Institutional finance analyst background (4-7+ years) IB (credit, DCM, leveraged finance), PE/credit, or asset management. You know what an IC memo looks like and have built financial models at 2 AM.
• Self‑taught coder Python, SQL, basic scripting. You can prototype and automate your own workflows (Excel -> Python -> Lang Chain).
• Built something with LLMs in the last 12 months RAG pipeline, agentic workflow, document automation-anything. You’ve shipped something real (internal tool, side project, client prototype).
• Bridge analyst and CTO Translate business problems into technical requirements. Explain AI limitations to skeptical partners. Push back on scope creep.

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