Applied GenAI Engineer / AI Workflow Consultant
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.
FAQs
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