Applied GenAI Engineer / AI Workflow Consultant

NO 3RD PARTIES OR C2C BUSINESSES

Overview

We are supporting a leading New York hedge fund seeking a hands-on Applied GenAI Engineer / AI Workflow Architect to embed with teams across the business and design, build, and deploy production-ready AI workflows . This is not an AI strategy, transformation, L&D, or training role. The successful candidate will be someone who actively works with LLMs, RAG pipelines, and agentic workflows in practice , understands how these systems behave in production, and can explain technical design choices clearly in a high-stakes, regulated environment.

What You’ll Be Doing

• Sit directly with teams across Operations, Accounting, Legal, Compliance, and HR to understand real day-to-day workflows and translate ambiguous, repetitive, or document-heavy tasks into robust AI-assisted solutions.
• Build and test LLM-driven workflows using modern tooling such as Claude, OpenAI, Azure OpenAI, Vertex AI, LangChain-style frameworks, RAG, and agentic orchestration patterns .
• Design and evaluate agentic workflows , including system prompts, guardrails, escalation paths, and human-in-the-loop controls .
• Validate output quality and system behaviour across hallucinations, edge cases, and failure modes , and ensure workflows fail gracefully and can be defended under scrutiny.
• Partner with Compliance and Legal teams to ensure all AI workflows are secure, auditable, and appropriate for a regulated financial environment .
• Communicate clearly with both technical and non-technical stakeholders, answering questions directly and explaining AI limitations, trade-offs, and design decisions with confidence.

What We’re Looking For

• Proven experience building and deploying AI workflows in production , rather than only piloting, training, or enabling others to use them.
• Deep practical understanding of LLMs, prompt engineering, RAG, multi-agent systems, and AI workflow design .
• Demonstrated ability to reason about AI behaviour, limitations, hallucination handling, and failure modes .
• Experience working in regulated or high-risk environments such as financial services, trading, capital markets, legal, or comparable sectors .
• Strong communication style and able to answer questions precisely, clearly, and without overcomplicating the response . This is important: the client has specifically screened out candidates who lacked technical depth or failed to answer technical questions directly.

Ideal Background

Candidates are likely to come from roles such as:

• Applied GenAI Engineer
• LLM Engineer
• AI Workflow Architect
• Forward Deployed AI Engineer
• AI Solutions Architect
• Hands-on AI / Automation Business Analyst

Profiles that are primarily AI enablement , learning & development , change management , or strategy / transformation leadership are unlikely to be the right fit for this role.

What Success Looks Like

• Production-ready AI workflows that improve business processes in a measurable and defensible way.
• Stakeholders trust both the technical quality of the AI solutions and the judgement behind when AI is , or is not, the right answer.
• The successful candidate can operate credibly in a hedge fund environment by demonstrating technical depth, strong judgement, and clear communication , rather than relying on high-level analogies or generic enablement language.