Note: The job is a remote job and is open to candidates in USA. EY is a global powerhouse focused on building a better working world. 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, blending technical expertise with leadership capabilities.

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

Skills

• 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
• 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

Benefits

• Medical and dental coverage
• Pension and 401(k) plans
• A wide range of paid time off options
• Hybrid model - work together in person 40-60% of the time over the course of an engagement, project or year
• Flexible vacation policy - decide how much vacation time you need based on your own personal circumstances
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being

Company Overview

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