EY - GDS Consulting - AIA - AI Archictect- Manager

The opportunity

We are seeking an experienced AI Architect to lead the design and delivery of secure, scalable and production-ready enterprise AI solutions. The role combines hands-on architecture with consulting leadership across Generative AI, Agentic AI, retrieval-augmented generation (RAG), AI/ML, cloud platforms and modern application engineering. The architect will translate business priorities into target-state architectures, reusable patterns and implementation roadmaps while guiding multidisciplinary teams from discovery through deployment and operationalization.

The ideal candidate has delivered enterprise or client-facing AI solutions in pre-production or production environments and can explain the use case, architecture, personal contribution, controls, delivery approach and outcomes. Certifications, personal projects and demonstrations alone are not sufficient.

Your key responsibilities

• Lead discovery and architecture workshops, clarify business outcomes and non-functional requirements, and convert them into scalable AI solution designs and delivery roadmaps.
• Architect LLM applications, copilots, RAG and Graph RAG solutions, autonomous agents, multi-agent workflows, tool/function calling, memory patterns and human-in-the-loop controls.
• Define reference architectures and reusable patterns for document ingestion, chunking, embeddings, vector and hybrid search, grounding, prompt workflows, model routing and enterprise integrations.
• Select fit-for-purpose models, cloud services, vector stores, orchestration frameworks and evaluation approaches based on security, quality, latency, cost, scalability and maintainability requirements.
• Design API-first, event-driven and microservices-based integrations with enterprise applications, data platforms, workflow systems and user experience layers.
• Establish AI evaluation and observability covering retrieval quality, groundedness, accuracy, hallucination risk, agent trajectories, tool execution, latency, cost and user experience.
• Embed Responsible AI, privacy, security and compliance controls including PII protection, access control, auditability, prompt-injection mitigation, content safety, secure tool execution and data-leakage prevention.
• Define cloud-native deployment and operations patterns using containers, Kubernetes or managed services, CI/CD, infrastructure as code, model/LLM operations, monitoring and release controls.
• Lead architecture reviews, technical design reviews, code reviews and production-readiness assessments; troubleshoot complex issues and guide performance optimization.
• Partner with business stakeholders, product owners, data scientists, engineers, UX teams, security and platform teams to ensure alignment from design through adoption.
• Contribute to proposals, RFP responses, estimates, executive presentations, accelerators, reusable assets and AI practice development.
• Lead and mentor architects and engineers, promote engineering standards, and build capability through coaching and knowledge sharing.

Skills and attributes

Professional experience

• 10+ years of experience in AI, data, analytics, software engineering or digital transformation, including significant responsibility for solution architecture and end-to-end delivery.
• Strong hands-on experience designing and deploying enterprise-scale AI/ML, GenAI, RAG or Agentic AI solutions in client-facing environments.
• Proven experience leading cross-functional teams, architecture governance, stakeholder engagement and complex delivery programs.
• Ability to communicate architecture decisions, trade-offs and business value to technical and executive audiences.

Technical skills

• Deep understanding of LLMs, prompt engineering, RAG, Graph RAG, Agentic RAG, embeddings, vector and hybrid search, knowledge graphs, model evaluation and fine-tuning approaches.
• Hands-on experience with agent frameworks such as Microsoft Agent Framework, LangGraph, LangChain, AutoGen, CrewAI or Google Agent SDK, and familiarity with Model Context Protocol (MCP).
• Strong experience with at least one enterprise cloud AI ecosystem: Microsoft Azure AI Foundry and Azure OpenAI; AWS Bedrock; or GCP Vertex AI and Gemini. Multi-cloud exposure is preferred.
• Experience with data and AI platforms such as Databricks, Azure AI Search, Microsoft Fabric, Synapse, BigQuery or equivalent enterprise data services.
• Strong proficiency in Python and SQL; working knowledge of REST APIs, FastAPI, JSON, asynchronous processing, microservices and event-driven architecture.
• Experience with vector databases, enterprise search, relational and NoSQL data stores, caching and analytics stores.
• Understanding of ML, deep learning, NLP, predictive analytics and the end-to-end AI lifecycle.
• Experience with Docker, Kubernetes or OpenShift, Git, CI/CD, automated testing, infrastructure as code, MLOps, LLMOps, observability and production support.
• Strong knowledge of enterprise architecture, data governance, model risk, Responsible AI, privacy, cybersecurity, accessibility and regulatory controls.

Consulting and leadership skills

• Strong client engagement, workshop facilitation, stakeholder management, presentation and executive communication skills.
• Ability to translate complex business requirements into practical, high-quality technical architectures and phased implementation plans.
• Leadership in solution estimation, delivery governance, risk management, quality assurance, mentoring and capability building.
• Curiosity, structured problem-solving, commercial awareness and commitment to continuous learning.

Education and preferred certifications

• Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics or a related quantitative discipline.
• Relevant certifications in Azure AI, AWS, Google Cloud, Databricks, AI/ML, Generative AI or enterprise architecture are preferred.

Why join us

• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to deliver measurable business impact.
• Collaborate with 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.

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

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