Forward Deployed AI Engineer - Associate Director

EY Studio+ NederlandLondon, NY
Hybrid

About The Position

As an Associate Director in EY’s Forward Deployed Engineering team, you will support the design, development, and deployment of AI-driven, data-centric solutions within strategic client environments. This role blends strong technical expertise with emerging leadership capabilities to contribute to business impact through collaboration with client teams and internal stakeholders.

Requirements

  • 6+ years in software engineering, data engineering, or AI/ML solution delivery.
  • Proven 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.
  • Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker).
  • Proficiency with cloud platforms: Azure, AWS, GCP.
  • Familiarity with DevOps practices including 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 experience with enterprise clients.
  • Demonstrated ability to contribute to complex technical engagements and collaborate with multidisciplinary teams.
  • Ability to operate effectively in ambiguous, fast-paced client environments.
  • Strong hands-on AI/ML engineering skills combined with emerging solution leadership capabilities.
  • Excellent communication and stakeholder management skills.
  • Commercial awareness focused on delivering measurable business outcomes.
  • Passion for AI, cloud-native architectures, and emerging technologies.

Nice To Haves

  • Knowledge of MLOps, LLMOps, AI governance, ethical AI frameworks, and model interpretability tools.
  • Industry-specific expertise (financial services, healthcare, energy).
  • Experience supporting sales, pursuits, or account growth initiatives.

Responsibilities

  • Collaborate with senior client stakeholders and technical teams to support AI and data strategy initiatives.
  • Assist in the full lifecycle of solution development—from problem definition, architecture design, prototyping, deployment, to scaling and adoption.
  • Help align client technology roadmaps with business objectives and emerging AI trends.
  • Develop and implement AI and LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks.
  • Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen.
  • Rapidly develop functional prototypes and production-ready demos within project timelines.
  • Support identification and pursuit of technical expansion opportunities to accelerate account growth.
  • Contribute to proposal development, technical demos, and client engagements by articulating AI/ML capabilities and business value.
  • Communicate effectively with both technical and non-technical stakeholders.
  • Mentor and guide junior engineers and data scientists within cross-functional pods.
  • Foster a culture of innovation, agility, and continuous improvement.
  • Contribute to the refinement of EY’s Forward Deployed Engineering frameworks, best practices, and technical capabilities.

Benefits

  • medical and dental coverage
  • pension and 401(k) plans
  • a wide range of paid time off options
  • flexible vacation policy
  • designated EY Paid Holidays
  • Winter/Summer breaks
  • Personal/Family Care
  • other leaves of absence
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