AI Engineer - 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 Engineer

The opportunity

As an AI Engineer, part of our EY-DET-FS team, you will be responsible for developing and implementing AI-powered solutions and GenAI applications. You will work hands-on with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and cloud-native AI tools to deliver intelligent, scalable, and secure enterprise solutions.

You’ll collaborate closely with AI Architects, Cloud Engineers, and Product Owners to build and deploy next-generation AI services that transform business processes and enhance user experiences.

Your Technical Responsibilities

• Develop and implement AI and GenAI-based microservices and APIs leveraging frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Develop and integrate LLM-based solutions (OpenAI, Anthropic, Mistral, Azure OpenAI, etc.) for real-world enterprise use cases.
• Build and maintain RAG (Retrieval-Augmented Generation) pipelines involving embedding generation, document chunking, and vector search using tools such as FAISS, Pinecone, or Weaviate.
• Implement prompt engineering, fine-tuning, and model evaluation techniques for optimizing responses and accuracy.
• Deploy AI models and services using cloud AI platforms (AWS Bedrock, Azure AI, Vertex AI).
• Work with data pipelines to preprocess, clean, and structure data for model ingestion.
• Develop API interfaces for integrating AI services into existing enterprise platforms and applications.
• Ensure strong adherence to DevOps/MLOps practices, including versioning, CI/CD automation, monitoring, and rollback strategies.
• Collaborate with the architecture and DevOps teams for containerized deployments using Docker and Kubernetes.
• Implement logging, monitoring, and performance tracking for deployed AI models and APIs.
• Continuously explore emerging AI frameworks, open-source models, and new deployment patterns to enhance solution design.

Your Management & Collaboration Responsibilities:

• Collaborate with AI Architects and cross-functional teams to convert solution blueprints into implementable modules.
• Participate in technical discussions, design reviews, and sprint planning to ensure smooth delivery.
• Support project managers in defining realistic timelines and technical dependencies.
• Maintain high-quality documentation for models, APIs, and data pipelines.
• Contribute to proofs of concept (POCs) and internal accelerators showcasing new AI capabilities.
• Assist in evaluating third-party tools, APIs, and frameworks for AI adoption within enterprise systems.

Your People Responsibilities (If Applicable):

• Support peer learning through code reviews, internal demos, and technical discussions.
• Share best practices in AI coding standards, prompt design, and data preparation.

Requirements (Qualifications):

Education:

• BE/BTech/MCA with 4–8 years of total experience, including 1–2 years of relevant AI/ML or GenAI project experience.

Mandatory Skills:

• Programming: Python (preferred), Java, or Node.js
• AI/ML Frameworks: LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Azure OpenAI, or Anthropic API
• LLM Expertise: Experience with GPT, Claude, Llama, Mistral, or other open-source LLMs
• RAG Frameworks: Pinecone, FAISS, Chroma, or Weaviate
• Cloud AI Platforms: AWS Bedrock, Azure Cognitive Services, Google Vertex AI
• APIs & Integration: REST/gRPC APIs, Swagger/OpenAPI, Postman
• Data & Storage: MySQL, MongoDB, Redis, or vector stores
• DevOps/MLOps: Git, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), MLflow (nice to have)
• Testing: PyTest, Postman, and API-level testing
• Version Control: Git/GitHub, Bitbucket

Preferred Skills:

• Experience with prompt optimization and evaluation
• Familiarity with LangGraph or CrewAI for agentic workflows
• Basic knowledge of transformer architecture internals
• Experience working with data pipelines (Airflow, Prefect)
• Awareness of responsible AI and model governance principles
• Agile/DevOps delivery experience

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world 

 
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.  

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

 
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.