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Salary: USD 200,000 - 250,000 / annual
Turing is building the frontier of applied AI by working with both leading AI labs and Fortune 500 enterprises. The Enterprise AI business unit operates as a startup within Turing, focused on deploying agentic AI systems into mission-critical workflows across financial services, life sciences, healthcare, retail, automotive, and CPG.
As a Forward-Deployed AI Engineer, you will own outcomes end-to-end for enterprise clients. Your responsibilities include:
**Problem Discovery & Architecture**: Work directly with senior client leaders to navigate ambiguity, uncover high-value opportunities, and translate complex business needs into clear technical direction. You'll need both technical depth and business acumen to understand workflows and define what success looks like.
**System Design & Implementation**: Architect and build production AI systems including multi-agent workflows, orchestration, tool use, context engineering, memory and state management, retrieval-augmented generation (RAG), APIs, data pipelines, integrations, and distributed systems that operate reliably at scale.
**End-to-End Ownership**: You will have authority and accountability for client outcomes from discovery through deployment and measurable impact. You'll own evaluation, observability, security, reliability, latency, scalability, and cost—staying hands-on throughout.
**Client Leadership**: You'll communicate effectively with senior engineers and business executives, explain technical concepts clearly, navigate ambiguity, and remain calm under pressure in demanding client environments.
This is intense, intellectually challenging work. The role requires in-person collaboration, typically three to five days per week, either at the client site or at Turing's Manhattan office near Madison Square Park. You should be based in the NYC area or within reasonable commuting distance.
Turing operates at startup speed with client-first values and an AI-forward approach. You'll help write the playbook as Enterprise AI scales, applying your expertise and judgment to create processes and solutions for problems that haven't been solved before.
**Requirements**:
- 8+ years of production engineering experience building and operating sophisticated software systems
- Deep expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure
- Hands-on experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows
- Track record of taking complex systems from architecture through deployment and scale
- Practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost
- Exceptional ability to enter unfamiliar environments, earn trust quickly, challenge assumptions constructively, and communicate with senior stakeholders
- Client-ready communication skills and ability to work under pressure
