EY - GDS Consulting - AI and DATA - AI Engineering - Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

AI Engineering

Role summary

You will engineer, ship, and operate AI powered services and APIs in production. The focus is on Python, API development, robust deployment practices, and end to end MLOps/DevOps on AWS/Azure. You’ll partner with data, ML, and platform teams to move models and AI capabilities from notebooks to reliable, secure, scalable services.

Key responsibilities

• Design, build, and operate production grade AI services/APIs, owning reliability, scalability, and performance SLOs.
• Implement MLOps best practices (experiment tracking, model packaging, CI/CD for models, automated testing, feature and model registries, telemetry) to reduce time to production.
• Drive DevOps automation (infrastructure as code, containerization, orchestration) and secure delivery with least privilege, secrets management, and policy-as-code.
• Lead deployment of AI components to AWS/Azure (containers, serverless, managed ML platforms) with strong observability and rollback plans.
• Collaborate cross functionally to translate product and analytics requirements into well designed APIs, contracts, and SLAs.

Must have skills

• MLOps (e.g., MLflow/Kubeflow/SageMaker/Azure ML), CI/CD for ML, model registry, monitoring
• DevOps (Docker, Kubernetes, IaC—Terraform/Bicep, GitHub/GitLab Actions/Azure DevOps)
• Python (production code quality, testing, packaging)
• Deployment to AWS/Azure (EKS/AKS, ECS/Fargate, Lambda/Functions, API Gateway/App Gateway)
• API development (FastAPI/Flask, OpenAPI/Swagger, authN/Z, rate limiting, versioning)

Good to have

• GenAI/Agentic concepts, vector databases, prompt engineering fundamentals

Qualifications & experience

• B.Tech/M.Tech/MS in CS/EE or equivalent.
• 4+ years in AI Engineering

EY | Building a better working world 

 
_x000D_ EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
_x000D_ Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
_x000D_ Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.