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EY

Senior Consultant – Gen AI

EY

Senior AI/ML Developer designing and implementing AI applications at EY. Collaborating with data engineers and clients to drive innovation and solve business problems.

Posted 7/4/2026full-timeChennai • 🇮🇳 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 major cloud platforms, with strong programming skills in Python and experience in deploying AI/ML solutions. Proven ability to translate business requirements into scalable solutions while mentoring teams in best practices and problem-solving.

Highest-signal resume keywords
AI/ML Solution DeploymentPython ProgrammingCloud Platforms (Azure, AWS, GCP)Generative AI FrameworksMLOps Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Application DesignMachine LearningDeep LearningNatural Language ProcessingSQL Data ModellingMicroservice ArchitectureKubernetesDatabricksOrchestration of LLM ModelsAuthentication Security Integration
Soft Skills
Problem-SolvingCommunicationPresentation
Tools & Technologies
Azure DevOpsGitHub ActionsJenkinsTerraformAWS CloudFormationMLFlow
Industry Keywords
Generative AIResponsible AIAI TrendsAI TechnologiesArchitectural Decisions

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJenkinsKubernetesPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
  • Collaborate with data engineers & build AI/ML models.
  • Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
  • Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI.
  • Set the standards for engineering best practices.
  • Identify opportunities where generative AI can provide value and solve business problems.
  • Responsible for creating POCs and POVs across horizontals and industry use cases.
  • Write high-quality, efficient, testable code in Python and other languages.
  • Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
  • Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.

Requirements

What you’ll need
  • A minimum of 5-8 years in building and deploying AI and Gen AI solutions on-premises or on cloud platforms.
  • Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
  • Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI.
  • Experience in Agentic frameworks building and deploying (e.g. Semantic Kernel, CrewAI, LangGraph etc.).
  • Experience in writing SQL and data modelling.
  • Experience in designing and implementation of AI solution using microservice based architecture.
  • Understanding of machine learning, deep learning, NLP and GenAI.
  • Strong programming skills in Python and/or pyspark.
  • Proven experience in integrating authentication security measures within machine learning operations and applications.
  • Excellent problem-solving skills and ability to connect AI capabilities to business value.
  • Strong communication and presentation skills.
  • Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
  • Familiarity with MLOps concepts and tech stack.
  • Good to know code versioning, MLFlow, batch prediction and real-time end point workflows.
  • Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
  • Familiarity with Responsible AI concepts strong Background in Azure Based AI and Data technologies is a must.

Benefits

Comp & perks
  • Competitive salary
  • Continuous learning
  • Transformative leadership
  • Diverse and inclusive culture