About this role
Enterprise deployments often stall due to integration complexity, diverse data environments, and strict security requirements that prevent frontier AI from reaching production. OpenAI needs an Applied AI Engineer in Singapore to bridge the gap between advanced AI capabilities and reliable, production-grade enterprise systems that deliver measurable business outcomes.
Working directly with leading organizations, this practitioner will translate ambitious ideas into technical architectures, build evaluation harnesses, and guide critical decisions involving model behavior, latency, and cost. Success relies on hands-on engineering, deep technical judgment, and the ability to steer complex implementations from initial prototyping all the way through to scaled adoption. Ideal candidates bring a strong track record of shipping AI or machine-learning systems in complex environments and thrive on solving thorny technical problems.
What you will do
- Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, and evaluation strategies.
- Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
- Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
- Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
- Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
- Collaborate closely with internal product, research, engineering, security, and go-to-market teams to translate deployment experience into product feedback.
- Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.
What you need
- Demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
- Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering.
- High proficiency in Python and comfort working across an AI application stack.
- Understanding of how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
- Experience navigating enterprise production requirements such as integrations, reliability, observability, security, privacy, and data governance.
- Ability to communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.
Nice to have
- Experience with JavaScript, TypeScript, or another relevant language
Benefits
- Relocation assistance to new employees
Skills and tech stack
Questions candidates ask
What is the remote work policy?
This role is based in Singapore. OpenAI uses a hybrid work model of 3 days in the office per week.
Is relocation assistance available?
Relocation assistance is offered to new employees joining this team in Singapore.
What background or experience is expected?
Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. Experience in a particular industry or with OpenAI products is not required.