AI Deployment Manager - Singapore
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Turing
NewYou'll build production AI systems for enterprise clients, starting with an intensive eight-week training program at Turing Akademia before moving to live client projects. The role requires 5+ years as a full-stack or production engineer, with strong foundation in APIs, databases, cloud infrastructure, and software development. Key skills include production engineering, client communication, and ownership of complex, unstructured problems; prior AI or LLM experience is helpful but not required. Based in New York City, working in-office three to five days weekly. Salary $170,000–$210,000 plus equity.
Written from this posting by Neural Jobs AI. The full description is below.
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Role: Forward-Deployed AI Engineer — In Training
Location: New York City
Experience Level: 5+ years as a full-stack developer
Compensation: $170,000–$210,000 base salary + equity
Work Model: In-office, typically three to five days per week, depending on client requirements
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises.
As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll build generative AI solutions in the real world that drive measurable business impact and return on investment within large institutions.
Your first placement will be in Turing Akademia, where you’ll build the applied AI, production engineering, and client-delivery skills required for the role. Candidates who successfully complete this placement will be immediately placed on live Turing Enterprise AI client projects as full-time Forward-Deployed AI Engineers with Turing.
Turing Akademia is an eight-week intensive development experience for high-performing software engineers and full-stack developers who are close to being ready for forward-deployed work. Through hands-on technical training, production-oriented projects, and direct feedback, you’ll strengthen the skills required to build reliable AI systems and deliver solutions in complex client environments.
Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for.
Work directly with customers to navigate ambiguity, uncover high-value opportunities, and use curiosity and business acumen to understand their workflows and jointly define the business outcomes an AI solution should drive.
Architect and build production AI systems—from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Complete your first placement in Turing Akademia, building and demonstrating these capabilities through intensive, hands-on work.
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work.
Present your work to stakeholders, manage expectations, explain technical decisions, and respond constructively to pushback.
Lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
High ownership and intensity: This role requires exceptional ownership and accountability. Your first placement in Turing Akademia will be demanding, fast-paced, and feedback-heavy, preparing you for clients with uncompromising expectations for quality.
Client-first and in-person: Our work is client-first, which means in-office collaboration may be required either at the client site or at our planned Manhattan office near Madison Square Park. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the New York City area or within a reasonable commuting distance.
You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Strong production engineering experience: Typically 5+ years as a software engineer or full-stack developer building production or near-production systems.
Strong technical foundation: Experience with programming, APIs, databases, backend systems, cloud infrastructure, and software development practices.
Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Ownership and learning agility: A history of taking initiative, solving unstructured problems, responding well to feedback, and learning new technologies quickly.
Prior experience with AI, LLMs, RAG, or agentic systems is helpful but not required. Your first placement in Turing Akademia is designed to build those skills.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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Turing supplies the human expertise behind frontier model training, pairing AI labs with engineers and domain specialists for data, evaluation and reinforcement learning from human feedback.
It also runs its own applied AI engineering practice, deploying models inside client systems.
100 more AI Engineer roles in New York
210K – 250K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 67 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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