EY - GDS Consulting - AIA - AI Engineer - senior manager
Ernst and Young24 hours ago
Chennai, IndiaStaff+
Responsibilities
- Design and implement agentic AI and generative AI applications, systems, and infrastructure across Azure, AWS, and Google Cloud.
- Translate client and stakeholder requirements into robust, scalable, and operable AI solutions.
- Design architectures for agentic AI, generative AI, and AI/ML industry use cases.
- Collaborate with data engineers and data scientists on data pipelines and AI/ML models.
- Develop proofs of concept and proofs of value across industries and horizontal use cases.
- Write high-quality, efficient, and testable Python code.
- Evaluate emerging AI technologies and frameworks to drive innovation.
- Facilitate design and architecture workshops and mentor AI engineers.
- Manage end-to-end project delivery, including scoping, solutioning, design, development, testing, deployment, and maintenance.
- Communicate with clients and internal stakeholders, identify opportunities, generate proposals, and present solutions to senior stakeholders.
Requirements
- At least 15 years of professional experience, including approximately 5–8 years building and deploying AI solutions on premises or in the cloud.
- Bachelor’s or master’s degree in computer science, data science, engineering, or a related field.
- Experience designing Agentic AI, generative AI, MLOps, LLMOps, and AgentOps architectures.
- Experience deploying AI/ML solutions on Azure, AWS, and/or Google Cloud.
- Experience orchestrating LLMs using OpenAI on Azure, AWS Bedrock, Google Cloud Vertex AI, or Gemini AI.
- Experience with SQL, data modeling, Python and/or PySpark, and microservice-based AI solutions.
- Understanding of machine learning, deep learning, NLP, and generative AI.
- Experience integrating authentication and security measures into machine learning operations and applications.
- Experience deploying AI/ML solutions using Kubernetes, Web Apps, Databricks, or similar platforms.
- Familiarity with MLOps, LLMOps, AgentOps, code versioning, MLflow, batch prediction, and real-time endpoint workflows.
- Familiarity with Azure DevOps, GitHub Actions, Jenkins, Terraform, and AWS CloudFormation.
- Experience with responsible AI concepts, problem solving, client communication, and presentations.
Benefits
- Work at the forefront of AI-driven innovation across multiple client sectors.
- Collaborate with global clients, AI experts, analytics leaders, and industry specialists.
- Access continuous learning, coaching, leadership development, and an inclusive culture.
- Work within EY Global Delivery Services across Argentina, China, India, the Philippines, Poland, and the UK.
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.