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EY

Senior Consultant – Gen AI

EY

Senior AI Developer building Azure, AWS and GCP GenAI solutions for EY’s global consulting clients. Leading architecture, delivery, client engagement and AI engineering mentorship.

Posted 9/11/2026full-timeMumbai • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI and Generative AI applications across cloud platforms such as Azure, AWS, and GCP, with strong programming skills in Python. Capable of managing end-to-end project delivery while mentoring teams and ensuring solutions meet client expectations.

Highest-signal resume keywords
AI/ML Solution DeploymentPython ProgrammingCloud Platforms (Azure, AWS, GCP)Data Processing and AlgorithmsMLOps Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML SolutionsPythonSQLData ModellingMicroservice ArchitectureKubernetesAzure OpenAIAWS BedrockGCP Vertex AISemantic Kernel
Soft Skills
Problem-SolvingCommunicationPresentationMentoring
Tools & Technologies
Azure DevOpsGitHub ActionsJenkinsTerraformMLFlow
Certifications & Qualifications
BTechMastersPhD
Industry Keywords
Generative AIDeep LearningNatural Language ProcessingResponsible AIAgentic Frameworks

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJenkinsKubernetesPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Design and implement AI/Gen AI applications, systems and infrastructure across Azure, AWS and GCP
  • Collaborate with data engineers to build AI/ML models
  • Translate client and stakeholder business and functional requirements into robust, scalable and operable solutions
  • Participate in architectural decisions and design AI/ML and Generative AI architectures
  • Set engineering best-practice standards
  • Identify opportunities for generative AI to solve business problems
  • Create POCs and POVs across horizontal and industry use cases
  • Write high-quality, efficient and testable code in Python and other languages
  • Evaluate the latest AI trends, technologies and frameworks
  • Facilitate design and architecture workshops
  • Mentor AI engineers in coding best practices and problem-solving
  • Manage end-to-end project delivery including scoping, solutioning, designing, developing, testing, deploying and maintaining
  • Ensure solutions meet client requirements and expectations
  • Communicate with clients and internal stakeholders throughout projects
  • Identify new opportunities and generate proposals for potential clients
  • Present solutions and value propositions to senior stakeholders

Requirements

What you’ll need
  • BTech/Masters/PhD
  • 5–8 years of professional experience building and deploying AI and Gen AI solutions on-premises or on cloud platforms
  • Deep understanding of data processing, data structures, algorithms, and machine learning
  • Hands-on experience deploying AI/ML solutions on Azure, AWS and/or Google Cloud
  • Experience using and orchestrating LLM models on Azure OpenAI, AWS Bedrock, GCP Vertex AI or Gemini AI
  • Experience building and deploying agentic frameworks such as Semantic Kernel, CrewAI, or LangGraph
  • Experience writing SQL and performing data modelling
  • Experience designing and implementing AI solutions using microservice-based architecture
  • Understanding of machine learning, deep learning, NLP and GenAI
  • Strong programming skills in Python and/or PySpark
  • Experience integrating authentication security measures within machine learning operations and applications
  • Experience deploying AI/ML solutions on Kubernetes, Web Apps, Databricks or similar platforms
  • Familiarity with MLOps concepts and technology stacks, code versioning, MLFlow, batch prediction and real-time endpoint workflows
  • Familiarity with Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CFT or similar tools
  • Familiarity with Responsible AI concepts
  • Strong background in Azure-based AI and data technologies
  • Knowledge of other hyperscalers is an advantage
  • Strong problem-solving, communication and presentation skills

Benefits

Comp & perks
  • Continuous learning and development opportunities
  • Tools and flexibility to make a meaningful impact
  • Insights, coaching and confidence-building through transformative leadership
  • Diverse and inclusive culture
  • Collaboration with global clients and AI experts
  • Exposure to an expanding ecosystem of people, learning, skills and insights