EY - GDS Consulting - AIA - 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. 

AIA – AI ENGINEER 

The opportunity

We are seeking a dynamic Senior consultant to join our AI & Data Consulting team, focused on building scalable, enterprise-grade GenAI and Agentic AI solutions. The ideal candidate will bring a strong combination of AI engineering, platform development, cloud-native architecture, and backend engineering expertise, along with the ability to collaborate across cross-functional teams to deliver secure, scalable, and high-performing AI applications.

You will work closely with data engineers, cloud architects, platform teams, security teams, product owners, and business stakeholders to design and implement LLM-powered platforms, agentic AI systems, Retrieval-Augmented Generation (RAG) solutions, and enterprise AI services that accelerate innovation and business transformation

Your key responsibilities

Technical Excellence:

AI Engineering & Agentic AI Development

• Design and develop enterprise-grade GenAI applications leveraging LLM frameworks such as LangChain, LangGraph / AutoGen / Google Agent SDK, and Model Context Protocol (MCP).
• Build and deploy agentic AI architectures, including multi-agent workflows, tool/function calling, enterprise integrations, and autonomous decision-making systems.
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings generation, vector indexing, retrieval optimization, and response grounding.
• Implement semantic search and knowledge retrieval solutions using vector databases such as Azure AI Search, Pinecone, FAISS, Redis Vector, and pgvector.
• Design robust AI system architectures that ensure scalability, reliability, security, and performance.
• Contribute to AI evaluation, observability, monitoring, and performance optimization of LLM-powered applications.
• Stay current with emerging trends in GenAI, Agentic AI, multimodal AI, enterprise AI platforms, and AI engineering practices.

Backend & Platform Engineering

• Design and build scalable backend services using Python, FastAPI, REST APIs, microservices, and event-driven architectures.
• Develop reusable AI platform components, services, APIs, and integrations to accelerate enterprise AI adoption.
• Integrate AI solutions with enterprise systems, third-party applications, workflow platforms, and data services.
• Troubleshoot and optimize AI pipelines, APIs, vector stores, backend services, and cloud-native applications.
• Implement scalable deployment strategies using containerized and cloud-native architectures.

Cloud, Infrastructure & DevOps

• Develop enterprise AI solutions using Azure OpenAI, Azure AI Services, and cloud-native services.
• Deploy and manage applications using Docker, Kubernetes, OpenShift, and container orchestration platforms.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, and modern DevOps tooling.
• Ensure production readiness through monitoring, observability, automated testing, release management, and operational excellence.
• Support deployment and lifecycle management across development, testing, staging, and production environments.

AI Governance, Security & Responsible AI

• Implement enterprise controls for PII protection, data privacy, AI security, compliance, and responsible AI practices.
• Support AI governance initiatives through monitoring, auditability, access controls, and compliance frameworks.
• Contribute to AI observability practices, including monitoring model behavior, hallucination risks, accuracy, latency, and retrieval quality.
• Ensure adherence to enterprise architecture, security standards, and engineering best practices.

Team Collaboration & Delivery Excellence

• Collaborate with data engineers, cloud and platform teams, security teams, product owners, and business stakeholders to refine requirements and deliver scalable AI solutions.
• Participate in architecture reviews, code reviews, testing reviews, and technical design discussions.
• Drive engineering excellence through reusable components, documentation, automation, and quality standards.
• Support production operations including troubleshooting, performance tuning, root-cause analysis, and continuous improvement.

Skills and Attributes:

Educational Background

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.

Professional Experience

• 4+ years of professional software engineering experience with strong exposure to GenAI, LLMs, platform engineering, and backend development.
• Strong hands-on expertise in Python for AI application development and backend engineering.
• Experience building LLM-powered applications, RAG systems, agentic workflows, prompt engineering solutions, and enterprise AI integrations.
• Hands-on proficiency with LangChain, LangGraph, and exposure to AutoGen, Google Agent SDK, Model Context Protocol (MCP), or skills-based agent frameworks.
• Experience implementing vector search solutions using Azure AI Search, Pinecone, FAISS, Redis Vector, or pgvector.
• Strong understanding of embeddings, semantic search, chunking strategies, retrieval optimization, ranking, and context management.
• Experience developing scalable backend services using FastAPI, REST APIs, microservices, and event-driven architectures.
• Hands-on experience with Azure OpenAI and Azure AI Services.
• Knowledge of containerization technologies such as Docker, with exposure to Kubernetes and OpenShift.
• Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar DevOps platforms.
• Strong understanding of SQL and NoSQL databases including MongoDB, Redis, ClickHouse, and scalable data architectures.
• Experience supporting enterprise AI systems through monitoring, observability, evaluation, and production operations.
• Understanding of AI governance, security, privacy, compliance, and responsible AI frameworks.
• Banking or financial services domain experience is preferred

Soft Skills

• Strong analytical and problem-solving capabilities.
• Excellent communication and stakeholder management skills.
• Ability to translate complex business requirements into scalable technical solutions.
• Strong collaboration skills across engineering, product, and business functions.
• Commitment to engineering excellence, continuous learning, and innovation

Preferred Certifications

• GenAI and LLM focused, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.)

Why Join Us

• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

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.