Google is seeking an experienced AI Outcome Customer Engineer to join its Forward Deployed Engineering (FDE) organization. This technical role focuses on helping enterprise customers successfully implement and adopt AI solutions by connecting business requirements with practical engineering and deployment strategies.
The position is available with preferred working locations in Doha, Qatar, or Riyadh, Saudi Arabia. The successful candidate will work closely with account teams, customer engineering specialists, product teams, and software engineers to assess implementation feasibility, resolve complex technical issues, and ensure that proposed AI solutions can be delivered effectively within customers' existing technology environments.
This opportunity is suited to professionals with strong technical troubleshooting skills, enterprise integration experience, and an understanding of cloud infrastructure, AI and machine learning deployments, and system orchestration frameworks.
Key Responsibilities
The AI Outcome Customer Engineer will help shape technical solutions during customer evaluations and support their successful implementation.
Key responsibilities include:
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Collaborate with account teams and Practice Customer Engineers during technical evaluations to assess project feasibility and determine suitable implementation approaches.
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Evaluate proposed AI projects to ensure they support long-term adoption, practical deployment, and measurable customer outcomes.
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Review technical implementation details, investigate complex customer issues, and identify solutions to deployment challenges.
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Analyze code-level problems, identify potential product defects, and test workarounds to remove technical obstacles.
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Coordinate with Google's core Product and Engineering teams to resolve infrastructure, integration, and deployment issues.
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Translate customer feedback and field implementation challenges into clear technical recommendations and feature requests.
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Design integration approaches that account for enterprise connectors, identity systems, data residency requirements, and other IT constraints.
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Guide implementation strategies by applying technical expertise, system architecture knowledge, and an understanding of customer environments.
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Work alongside customer-facing teams to ensure that proposed technical solutions are realistic, scalable, and deliverable.
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Help bridge the gap between pre-sales technical discussions and post-sales execution so customers can move efficiently from evaluation to adoption.
Minimum Qualifications
Candidates must meet the following minimum requirements:
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Bachelor's degree or equivalent practical experience.
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At least seven years of experience troubleshooting technical issues for internal or external partners or customers.
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Experience with enterprise integrations, such as APIs, enterprise content management systems (ECMs), identity solutions, cloud infrastructure, or AI/ML model deployments.
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Experience developing technical delivery strategies and working with product or engineering organizations.
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Experience with system design or orchestration frameworks such as LangGraph, AutoGen, or CrewAI.
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Fluency in both Arabic and English, including speaking and writing.
Preferred Qualifications
Google prefers candidates who have experience working directly with core product and engineering teams on infrastructure challenges or AI/ML model deployments.
Additional relevant strengths include the ability to manage technical delivery strategies, debug complex systems, communicate implementation requirements clearly, and translate customer problems into actionable engineering improvements.
Professionals who can combine hands-on technical troubleshooting with system architecture and customer engagement may be particularly well suited to this position.
About Google
Google is a global technology company working across cloud computing, artificial intelligence, enterprise software, and digital services. Its customer engineering teams help organizations evaluate, integrate, and implement technologies that address their operational and business needs.
The Forward Deployed Engineering approach emphasizes practical technical execution, close collaboration with customers, and coordination with product and engineering teams. This role provides an opportunity to work at the intersection of enterprise technology, AI adoption, and customer implementation.
Google also states its commitment to equal employment opportunities and provides accommodations for applicants who require them during the recruitment process.
Who Should Apply?
This position may suit senior customer engineers, solutions engineers, implementation specialists, cloud engineers, and technical consultants who have substantial experience solving enterprise technology problems.
Candidates should be comfortable investigating complex technical issues, collaborating with software engineering teams, and guiding customers through AI implementation challenges. Fluency in Arabic and English is essential, alongside the ability to connect technical architecture with practical delivery requirements.
Note: The job description does not specify a salary or application deadline. Candidates should confirm these details through Google's official vacancy listing.