Forward Deployed Engineer Manager — AI & Cloud Delivery

EY; Atlanta (GA); On-site; USD 167,000 - 278,000; Full time

Benefits offered by this job

Medical & dental

Pension & 401(k)

Paid time off

Job summary

EY is seeking a Forward Deployed Engineer (FDE) – Manager to help clients solve complex business challenges through technology. This role sits at the intersection of consulting, engineering, and product delivery, working with business and technology stakeholders to design, build, and deploy solutions that deliver measurable outcomes.

The ideal candidate combines technical depth with strong business acumen. They can navigate ambiguity, translate business priorities into scalable technology

Qualifications

• Experience leading complex, client-facing technology delivery.
• Ability connect business objectives to architecture, engineering plans, delivery decisions, adoption, and measurable outcomes.
• Experience leading multiple workstreams or multidisciplinary teams and coordinating dependencies across client and delivery organizations.
• Strong technical foundation in modern software engineering, cloud platforms, data ecosystems, AI/GenAI, and enterprise integration.
• Experience guiding the design and delivery of production AI/ML or generative AI solutions, including LLM applications, retrieval-augmented generation, agentic workflows, evaluation, and operational readiness.
• Working knowledge of application frameworks such as LangChain, LangGraph, or LangGraph, and the judgment to select an approach appropriate to the use case and client environment.
• Experience with APIs, data services, event-driven integration, and asynchronous workflows; familiarity with Apache Kafka or comparable messaging platforms.
• Ability to guide engineering teams using Python, Java, TypeScript, or comparable languages, and practices such as source control, code review, automated testing, and CI/CD.
• Experience supporting deployment and troubleshooting in cloud, on-premises, or hybrid client environments, including security, integration, and data-readiness considerations.
• Strong communication, facilitation, negotiation, and executive presentation skills.
• Commercial awareness, including experience contributing to proposals, account planning, solution shaping, or identifying follow-on work.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

• Partner with client stakeholders to understand business objectives, challenges, and opportunities.
• Lead discovery, requirements definition, solution design, and implementation activities.
• Design and deliver solutions across AI, cloud, data, digital, and platform engineering domains.
• Translate business requirements into scalable architectures, delivery plans, and engineering workstreams.
• Own solution delivery end-to-end, from problem definition through deployment and adoption.
• Lead multidisciplinary teams across engineering, architecture, product, and business functions.
• Measure and track business outcomes, adoption, and value realization.
• Build trusted relationships with client stakeholders and delivery teams.
• Identify adjacent business opportunities and shape follow-on initiatives that create additional client value.
• Support account growth through solution development, pursuit support, and client engagement.

Skills

Client leadership

Systems architecture

Cloud platforms

AI/GenAI

Software languages

Communication

Business acumen

Education

Bachelor's degree in CS/Engineering

Tools

LangChain

LangGraph

Docker

Kubernetes

Kafka

Job description

EY is seeking a Forward Deployed Engineer (FDE) – Manager to help clients solve complex business challenges through technology. This role sits at the intersection of consulting, engineering, and product delivery, working with business and technology stakeholders to design, build, and deploy solutions that deliver measurable outcomes.

The ideal candidate combines technical depth with strong business acumen. They can navigate ambiguity, translate business priorities into scalable technology