وصف الوظيفة
Role Overview
Applied AI Engineer at OpenAI, based in Abu Dhabi, UAE. You will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes, combining deep technical judgment, hands-on engineering, and customer leadership from use-case selection through production launch and scale.
Company Overview
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works.
Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.
Role Purpose
You will take ambitious AI ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI's products evolve.
Key Responsibilities
Customer Partnership & Strategy
- Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
- Connect technical decisions to customer workflows, adoption, and measurable business outcomes.
- Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
Design & Build
- 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.
- Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.
Technical Decision-Making
- 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.
- Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
Collaboration & Leadership
- Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
- Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.
Qualifications & Experience
- Demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
- Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
- Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management.
- Experience navigating enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
Skills & Competencies
- Highly proficient in Python and comfortable working across an AI application stack.
- Experience with JavaScript, TypeScript, or another relevant language is valuable.
- Strong technical judgment and end-to-end ownership in ambiguous environments.
- High agency and ability to learn quickly, challenge assumptions constructively, and collaborate with humility.
- Experience in a particular industry or with OpenAI products is not required.
Additional Information
Work Arrangement
- Hybrid work model of 3 days in the office per week.
- Relocation assistance available to new employees.
Equal Opportunity
OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
For unincorporated Los Angeles County workers: criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Job duties require access to secure and protected information technology systems and related data security obligations.
OpenAI is committed to providing reasonable accommodations to applicants with disabilities.