EY - GDS Consulting - AIA - AI Engineer - senior manager
Ernst and Young6 days 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 architectures.
- Design data pipelines, AI/ML models, and architectures for industry-wide use cases in collaboration with data engineers and data scientists.
- Create proofs of concept and points of view, identify generative AI opportunities, and evaluate emerging AI technologies.
- Write high-quality, efficient, and testable Python code and contribute to engineering best practices.
- Manage 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 present solutions to senior stakeholders.
- Identify new business opportunities and generate proposals for potential 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 architecting Agentic AI, Generative AI, MLOps, LLMOps, and AgentOps solutions.
- Experience deploying AI/ML solutions on Azure, AWS, and/or Google Cloud.
- Experience orchestrating large language models using OpenAI, Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI, or Gemini AI.
- Experience with SQL, data modeling, AI solution design using microservice-based architectures, machine learning, deep learning, NLP, and generative AI.
- Strong programming skills in Python and/or PySpark.
- 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 code versioning, MLflow, batch prediction, real-time endpoint workflows, Azure DevOps, GitHub Actions, Jenkins, Terraform, and AWS CloudFormation.
- Understanding of responsible AI concepts, strong problem-solving skills, and the ability to connect AI capabilities to business value.
- Strong communication and presentation skills.
Benefits
- Work on AI-driven innovation and real-world transformation projects for global clients across multiple sectors.
- Collaborate with AI experts, analytics leaders, and industry specialists in an entrepreneurial environment.
- Access continuous learning, coaching, leadership development, and career growth opportunities.
- Work within EY Global Delivery Services across teams and locations in Argentina, China, India, the Philippines, Poland, and the UK.
- Participate in a diverse and inclusive culture with tools and flexibility to make a meaningful impact.
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.