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EY

Senior Forward Deployed Engineer

EY

. Establish and lead the Forward Deployed Engineer capability for the Technology sector .

Posted 11/1/2026full-timeUnited StatesSenior💰 $171,600 - $445,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in generative AI, RAG, and agentic systems, with a strong focus on architecture, client engagement, and the delivery of production-grade solutions. Proven ability to lead engineering teams, define standards, and build reusable components while fostering long-term client relationships.

Highest-signal resume keywords
Generative AI Systems DeliveryAI/ML Engineering ExpertisePython or Java ProgrammingCloud Platforms (Azure, AWS, GCP)Architectural Design and Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Use Case DevelopmentAdvanced Prompt EngineeringModel Behavior AnalysisProduction Quality MeasurementAPI DesignBenchmarking and A/B TestingSystems Performance OptimizationReusable Component DevelopmentTechnical Problem ResolutionClient-Facing Technology Delivery
Soft Skills
Client Relationship ManagementCoaching and DevelopmentProblem-SolvingCollaboration with Sales and Delivery TeamsAdaptability in Unclear Environments
Tools & Technologies
KubernetesDockerCI/CDDatabricksSnowflakeMicrosoft FabricAI-Assisted Engineering Tools
Industry Keywords
Forward Deployed EngineerEngineering StandardsResponsible AIEnd-to-End ArchitectureAI-Ready Data Foundations

Tech Stack

Tools & technologies
AWSAzureDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesPythonSnowflake

About the role

Key responsibilities & impact
  • Establish and lead the Forward Deployed Engineer capability for the Technology sector
  • Define the role model, hiring bar, engineering standards, and ways of working with sales and delivery teams
  • Embed with senior client stakeholders and shape ambiguous problems into clear AI use cases
  • Translate technical decisions into business outcomes
  • Lead solution shaping, proposals, pricing, and technical demonstrations
  • Build working prototypes that win engagements and reduce delivery risk
  • Own end-to-end architecture for strategic generative AI, RAG, and agentic programs
  • Stay hands-on by writing code, reviewing designs, and resolving complex technical problems
  • Define reference architectures and API and integration strategies
  • Set standards for evaluation, benchmarking, observability, resilience, security, and responsible AI
  • Turn delivery work into reusable solution patterns, sector playbooks, and platform primitives
  • Build long-term client relationships and grow accounts across EY capabilities
  • Hire, coach, and develop FDEs and engineers
  • Use AI-assisted engineering tools to raise team speed and quality

Requirements

What you’ll need
  • 15+ years of applied engineering experience, including significant senior AI/ML engineering, architecture, or client-facing technology delivery experience
  • Expert knowledge of model behavior, context design, advanced prompt engineering, fine-tuning trade-offs, and failure modes
  • Proven delivery of production-grade generative AI, RAG, and agentic systems with guardrails, human oversight, and responsible AI controls
  • Ability to redesign business processes around agents and multi-step AI workflows
  • Track record of building reusable components, reference architectures, and shared AI platform capabilities
  • Strong systems and performance experience across distributed systems, API design, latency, cost, reliability, and scale
  • Advanced hands-on Python or Java
  • Experience with Azure, AWS, and/or GCP, Kubernetes, Docker, and CI/CD
  • Experience with Databricks, Snowflake, or Microsoft Fabric and AI-ready data foundations
  • Experience building evaluation frameworks, benchmarking, A/B testing, and production quality measurement
  • Ability to work inside unclear client environments and reach working solutions quickly
  • Architect-level customer guidance for senior technical and business stakeholders
  • Experience preparing client and EY teams to adopt, run, and extend systems
  • Proven contribution to sales and account growth
  • Ability to work in person at an EY office and/or client location up to 50% of the time
  • Legally authorized to work in the U.S. without employer sponsorship now or in the future
  • Bachelor's degree in computer science, engineering, or a related field is ideally desired, not required

Benefits

Comp & perks
  • Medical and dental coverage
  • Pension plan
  • 401(k) plan
  • Wide range of paid time off options
  • Professional growth opportunities
  • Inclusive culture
  • Reasonable accommodation for qualified individuals with disabilities