Agile - EY - GDS Consulting - AIA - AI Engineer - senior manager
Ernst and Young29 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 solutions.
- Develop architectures for Agentic AI, Generative AI, AI/ML, and industry-wide use cases.
- Collaborate with data engineers and data scientists on data pipelines and AI/ML models.
- Write high-quality, efficient, and testable Python code.
- Create proofs of concept and points of view for horizontal and industry use cases.
- Establish engineering best practices and evaluate emerging AI technologies and frameworks.
- 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, present solutions to senior stakeholders, 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 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, microservice-based AI 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 MLOps, LLMOps, AgentOps, MLflow, batch prediction, and real-time endpoint workflows.
- Experience with code versioning and tools such as Azure DevOps, GitHub Actions, Jenkins, Terraform, or AWS CloudFormation templates.
- Understanding of responsible AI concepts, strong problem-solving skills, and the ability to connect AI capabilities to business value.
- Strong communication, presentation, client engagement, and stakeholder management skills.
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, skills development, coaching, and leadership opportunities.
- Work within a diverse and inclusive global delivery network spanning Argentina, China, India, the Philippines, Poland, and the UK.
- EY Global Delivery Services provides opportunities to work with teams across EY service lines, geographies, sectors, and well-known global brands.
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.