Forward Deployed AI Engineer – Associate Director

Overview

As an Associate Director in EY’s Forward Deployed Engineering team, you will shape AI-driven, data-centric solutions for strategic clients. You will blend hands-on AI/ML engineering with emerging leadership to drive business impact through cross-functional collaboration. You’ll guide solution lifecycles from problem framing to deployment, while aligning client roadmaps with AI trends. This is a chance to influence EY’s engineering framework and scale innovative AI capabilities in real-world environments.

Pay / Benefits

• medical and dental coverage
• pension and 401(k)
• paid time off
• flexible environment
• hybrid work model
• flexible vacation policy

Responsibilities

• Collaborate with senior client stakeholders and technical teams to support AI and data strategy initiatives
• Oversee full lifecycle of solution development—from problem definition to deployment and adoption
• Align client technology roadmaps with business objectives and AI trends
• Develop and implement AI and LLM-powered applications using Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks
• Prototype rapidly and deliver production-ready demos within project timelines
• Support technical expansion opportunities for account growth
• Contribute to proposals, technical demos, and client engagements by communicating AI/ML value
• Mentor and guide junior engineers and data scientists within cross-functional pods
• Foster a culture of innovation, agility, and continuous improvement
• Refine EY’s Forward Deployed Engineering frameworks, best practices, and capabilities

Key requirements

• 6+ years in software engineering, data engineering, or AI/ML solution delivery
• Experience delivering scalable AI/ML solutions in client-facing or collaborative roles
• Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies
• Cloud-native development, microservices, container orchestration (Kubernetes, Docker)
• Proficiency with cloud platforms: Azure, AWS, GCP
• Familiarity with DevOps: CI/CD, Infrastructure as Code (Terraform, Ansible), monitoring, and logging
• Exposure to agentic architectures, multi-agent orchestration, or cognitive harness patterns
• Consulting or technical delivery with enterprise clients
• Ability to collaborate with multidisciplinary teams on complex engagements

• Excellent communication and stakeholder management
• Ambiguity tolerance and adaptability in fast-paced client environments
• Commercial awareness and ability to articulate business value
• Python
• LangChain
• LlamaIndex

…