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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Engineering and Generative AI, with a strong focus on designing and operationalizing scalable AI solutions using MLOps pipelines and cloud-native technologies. Proven ability to collaborate with cross-functional teams and deliver AI use cases that align with business strategies while ensuring compliance with regulatory requirements.
Highest-signal resume keywords
AI EngineeringMLOps Pipeline DesignLarge Language Model DevelopmentCloud Platforms (Azure, AWS, GCP)Generative AI Applications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTensorFlowPyTorchMLOps ImplementationAI Solution ArchitectureDocument SummarizationChatbotsIntelligent AssistantsCode GenerationData Privacy
Soft Skills
CollaborationMentoringProblem-SolvingFlexibilityCommunication
Tools & Technologies
LangChainHuggingFaceOpenAI APIsAzure OpenAIGoogle Vertex AIAWS Bedrock
Industry Keywords
GovernmentHealthcareFinancial ServicesRetailTelecom
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Provide advisory services focused on AI Engineering and Generative AI
- Design, build, and operationalize scalable AI solutions using MLOps pipelines and cloud-native technologies
- Integrate large language models and automate workflows with GenAI
- Embed AI capabilities into business processes
- Collaborate with data scientists, engineers, and business leaders to align solutions with strategic goals
- Manage up to two projects alongside Directors and Partners
- Help clients define AI-driven FAAS strategies addressing risk and maximizing value
- Deliver AI use cases including LLMs, GenAI applications, and MLOps implementations
- Ensure timely delivery in compliance with regulatory requirements
- Execute the FAAS service delivery framework and work with other service lines
- Monitor engagement team performance against the budget
- Evaluate emerging AI trends and innovative AI/GenAI tools
- Support go-to-market and business development efforts
- Mentor the next generation of talent within EY
Requirements
What you’ll need- Bachelor's degree
- Approximately 4 to 5 years of related work experience
- At least 5+ years of work experience in a global consulting firm
- Practical experience in AI and ML development with Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP)
- Hands-on experience building and fine-tuning LLMs
- Experience with LangChain, HuggingFace, or OpenAI APIs
- Experience designing MLOps pipelines and AI solution architecture
- Experience deploying AI models in production
- Exposure to GenAI use cases such as document summarization, chatbots, intelligent assistants, and code generation
- Domain knowledge in Government, Healthcare, Financial Services, Retail, or Telecom
- Ability to translate complex business problems into AI solutions with measurable impact
- Knowledge of data privacy, ethical AI, and responsible AI principles
- Flexibility and willingness to travel on short notice
- Track record with a leading consulting firm is preferred
- Experience with Azure OpenAI, Google Vertex AI, or AWS Bedrock is preferred
- Proficiency in Arabic is preferred
Benefits
Comp & perks- Competitive compensation package based on performance
- Continuous learning and professional development
- Tools and flexibility to make a meaningful impact
- Insights, coaching and leadership development
- Diverse and inclusive culture