Forward Deployed AI Engineer

Forward-Deployed AI Engineer (Enterprise AI) at Turing is an in-person, client-outcomes role in New York City. You will build and operate production generative AI and agentic systems end to end, partnering closely with customers to turn ambiguity into measurable impact. Enterprise AI is a distinct business unit that operates with startup speed, focus, and high ownership.

Location: New York, NY (onsite)
Work model: In-office, typically three to five days per week, either at client sites or at a planned Manhattan office near Madison Square Park (role requires being based in the NYC area or within a reasonable commute).

Compensation: USD 200,000–250,000 per year base salary + equity

How you’ll make an impact

• Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction.
• Architect and build production AI systems, spanning multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG).
• Own the engineering that makes systems reliable at scale, including APIs, data pipelines, integrations, and distributed systems.
• Lead solutions from discovery through deployment and measurable impact while staying hands-on.
• Drive evaluation and production readiness with responsibility for observability, security, reliability, latency, scalability, and cost.

What you bring

• Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
• Experience delivering production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
• Proven ability to take complex systems from architecture through deployment and scale, including practical knowledge of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
• Comfort entering unfamiliar environments, earning trust quickly, navigating ambiguity, challenging assumptions constructively, and communicating effectively with senior engineers and business executives.
• Ability to explain technical concepts clearly, work with stakeholders, and stay calm under pressure.

Technologies you’ll work with

Python, RAG, LLMs, APIs, databases, distributed systems, cloud infrastructure, orchestration, tool use, context engineering, memory and state, multistep workflows

Why this role in Enterprise AI

Enterprise AI operates like a startup inside Turing, with the speed, focus, and ownership you would expect in a rapidly scaling team. You may not always have an established process or playbook, so expertise, judgment, and technical depth are used to create the path forward.

Turing values and advantages

• Client first
• Work at start-up speed
• AI forward

• Work at the frontier of AI and help bring advanced enterprise AI capabilities to real deployments.
• Contribute to leading-edge AI research and showcase work at top conferences such as ICLR, ICML, and NeurIPS.
• Collaborate with colleagues with deep AI experience from companies including Google, Meta, and Amazon.
• Move quickly with the speed, ownership, and impact of a startup.

If you do not meet every qualification, you are encouraged to apply to the Forward-Deployed AI Engineer (In Training) opportunity. That track is designed for high-potential software engineers and full-stack developers building the production engineering, applied AI, and client-delivery skills needed to become Forward-Deployed AI Engineers at Turing.