Forward Deployed Engineer - UAE
WFA Digital Insight
The demand for skilled engineers who can deploy AI models in production environments has skyrocketed, with a 25% increase in job postings over the last year. As a Forward Deployed Engineer at Openai, you'll be at the forefront of this trend, working closely with customers to turn research breakthroughs into production systems. With the company's commitment to safely deploying AI systems, this role offers a unique opportunity to make a real impact. Before applying, candidates should be aware that this role requires a strong background in engineering, excellent communication skills, and the ability to work in a fast-paced, ambiguous environment.
Job Description
About the Role
As a Forward Deployed Engineer at Openai, you will be part of a team that partners with customers to deploy AI models in production environments. This role is critical to the company's mission of ensuring that general-purpose artificial intelligence benefits all of humanity. You will work closely with customers to understand their needs, embed with their teams, and deliver complex deployments of frontier models. Your work will have a direct impact on the company's ability to safely deploy AI systems and drive business results.The Forward Deployed Engineering team operates at the intersection of customer delivery and core development, working closely with Product, Research, and Go-To-Market (GTM) teams. This role is based in Abu Dhabi, with a hybrid work model that includes 3 days in the office per week. Travel up to 50% is required, and relocation assistance is offered.
What You Will Do
- Own technical delivery across multiple deployments from first prototype to stable production
- Build full-stack systems that deliver customer value and sharpen how we learn
- Embed closely with customer teams, understand their needs, and guide adoption of what you build
- Scope work, sequence delivery, and remove blockers early
- Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
- Contribute directly in the code when progress or clarity depends on it
- Codify working patterns into tools, playbooks, or building blocks that others can use
- Share field feedback that helps Research and Product understand where the models succeed and where they can improve
- Keep teams moving through clarity and follow-through
- Collaborate with internal teams to drive clarity and ensure successful deployment
- Identify reusable patterns and share field signal that influences the roadmap
What We Are Looking For
- 5+ years of engineering or technical deployment experience that includes customer-facing work
- Experience scoping and delivering complex systems in fast-moving or ambiguous environments
- Strong programming skills in languages such as Python, JavaScript, or comparable stacks
- Experience building or deploying systems powered by LLMs or generative models
- Ability to simplify complexity and make fast, sound decisions under pressure
- Excellent communication skills, with the ability to communicate clearly with engineers, product teams, and customer stakeholders
- Strong problem-solving skills, with the ability to spot risks early and adjust without slowing down
- Experience working in a hybrid or remote environment
- Strong understanding of GTM and Adjust
Nice to Have
- Experience working with AI models or machine learning algorithms
- Knowledge of cloud-based deployment platforms such as AWS or Azure
- Experience working in a startup or high-growth environment
- Familiarity with agile development methodologies
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading AI research and deployment company
- Hybrid work model with 3 days in the office per week
- Relocation assistance
- Travel opportunities up to 50%
- Access to cutting-edge technology and tools
- Collaborative and dynamic work environment
- Professional development opportunities
How to Stand Out
- Be prepared to provide specific examples of your experience deploying complex systems in production environments.
- Make sure your resume and online profiles are up-to-date and showcase your technical skills and experience.
- Practice your communication skills, as you will be working closely with customers and internal teams.
- Be prepared to talk about your experience working in ambiguous or fast-paced environments.
- Show a willingness to learn and adapt to new technologies and tools.
- Be prepared to provide examples of how you have simplified complex problems and made sound decisions under pressure.
- Research the company and the role beforehand, and be prepared to ask informed questions during the interview process.
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