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Ernst & Young

Global professional services: consulting, assurance, tax

Ey – Senior Manager - GDS Consulting, AIA, Gen AI

AI Application EngineeringUpdated on Nov 14
Full-timeChennai, Tamil Nadu, IndiaNo salary listed

About the Job

Requirements

  • A minimum of 15 years of professional experience and around 5-8 years in building and deploying AI solutions on-premises or on cloud platforms.
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
  • Experience in providing the MLOps, LLMOps and AgentOps Architecture design.
  • 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 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.
  • Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
  • Familiarity with MLOps/ LLMOps and Agent Ops concepts and tech stack. Experience in code versioning, MLFlow, batch prediction and real-time end point workflows.
  • Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
  • Experience with responsible AI concepts
  • Strong Background in Azure Based AI and Data technologies is a must.
  • Knowledge of other Hyperscalars will be additional Advantage

Responsibilities

  • Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
  • Collaborate with data engineers & data scientists in designing data pipelines & 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.
  • Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
  • Ensuring the solutions meet the client requirements and expectations.
  • Communicate effectively with the clients and internal stakeholders throughout the project.
  • Identify new opportunities and generate proposals for potential clients.
  • Present the solutions and showcase the value proposition to senior stakeholders.

Desired Qualifications

  • Excellent problem-solving skills and ability to connect AI capabilities to business value.
  • Strong communication and presentation skills.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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