Forward Deployed AI Engineer - Associate Director

London Source: WhatJobs

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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