EY - GDS Consulting - AIA - Gen AI - Senior Manager
Ernst and Young1 month ago
Chennai, IndiaStaff+
Responsibilities
- Design and implement AI and Generative AI applications, systems, infrastructure, and architectures across Azure, AWS, and Google Cloud.
- Collaborate with data engineers and data scientists on data pipelines and AI/ML models.
- Translate client and stakeholder requirements into robust, scalable, and operable solutions.
- Create proofs of concept and points of view for industry and horizontal use cases.
- Write high-quality, efficient, and testable code in Python and other languages.
- Design MLOps, LLMOps, and AgentOps architectures and deploy AI/ML solutions.
- Lead end-to-end project delivery, including scoping, solutioning, design, development, testing, deployment, and maintenance.
- Facilitate architecture workshops, communicate with clients and stakeholders, mentor AI engineers, and establish engineering best practices.
- Identify opportunities for Generative AI, develop client proposals, and present solution value propositions 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 cloud environments.
- Bachelor’s or master’s degree in computer science, data science, engineering, or a related field; the posting also references BTech and PhD qualifications.
- Experience designing MLOps, LLMOps, and AgentOps architectures and deploying AI/ML solutions on Azure, AWS, and/or Google Cloud.
- Experience using and orchestrating LLMs through OpenAI, Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI, or Gemini AI.
- Experience with SQL, data modeling, Python and/or PySpark, AI/ML solution deployment, Kubernetes, Web Apps, and Databricks.
- Understanding of machine learning, deep learning, NLP, Generative AI, responsible AI, and microservice-based AI architectures.
- Experience with authentication and security measures in machine learning operations and applications.
- Experience with code versioning, MLflow, batch prediction, and real-time endpoint workflows.
- Familiarity with Azure DevOps, GitHub Actions, Jenkins, Terraform, and AWS CloudFormation.
- Strong problem-solving, communication, presentation, client engagement, and business-value translation skills.
Benefits
- Opportunity to work on AI-driven innovation and global client projects across multiple sectors.
- Collaboration with AI experts, analytics leaders, and industry specialists in an entrepreneurial environment.
- Continuous learning, leadership development, coaching, and access to a global professional ecosystem.
- Inclusive and diverse culture with opportunities to work across EY service lines, geographies, and sectors.
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.