EY - GDS Consulting - AIA - Gen AI - Senior Manager
Ernst and Young16 days ago
Chennai, IndiaStaff+
Responsibilities
- Design and implement AI and GenAI applications, systems, and infrastructure across Azure, AWS, and Google Cloud.
- Architect AI/ML, Generative AI, MLOps, LLMOps, and AgentOps solutions and collaborate 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 cross-industry and horizontal use cases.
- Write high-quality, efficient, and testable Python and other code.
- Establish engineering best practices and mentor AI engineers in coding and problem-solving.
- Lead end-to-end project delivery, including scoping, solutioning, design, development, testing, deployment, and maintenance.
- Conduct architecture workshops, communicate with clients and stakeholders, and present solutions and value propositions.
- Identify new opportunities and generate proposals for prospective clients.
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.
- Experience designing MLOps, LLMOps, and AgentOps architectures.
- Experience deploying AI/ML solutions on Azure, AWS, and/or Google Cloud.
- Experience orchestrating LLMs using OpenAI, Azure, AWS Bedrock, Google Cloud Vertex AI, or Gemini AI.
- Experience with SQL, data modeling, AI solution design, and microservice-based architectures.
- Understanding of machine learning, deep learning, NLP, and GenAI, with strong Python and/or PySpark programming skills.
- 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 MLflow, batch prediction, real-time endpoint workflows, code versioning, Azure DevOps, GitHub Actions, Jenkins, Terraform, and AWS CloudFormation templates.
- Knowledge of responsible AI concepts and a strong background in Azure-based AI and data technologies.
- Strong problem-solving, communication, presentation, client engagement, and business-value orientation skills.
Benefits
- Opportunity to work at the forefront of AI-driven innovation across multiple client sectors.
- Work with global clients and collaborate with AI experts, analytics leaders, and industry specialists.
- Continuous learning, leadership development, coaching, and access to a global professional ecosystem.
- Inclusive and diverse culture with tools and flexibility to make a meaningful impact.
- Work within EY Global Delivery Services across teams and locations spanning 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.