Advanced Forward Engineering - Implementation Engineer - Senior

About the role

The Advanced Forward Engineering (AFE) team within EY's Office of the CTO is composed of Forward Deployed Engineers (FDEs) embedded with strategic clients to ensure optimal customer experience using EY’s products. This role involves designing, building, and delivering AI-native systems directly into highly regulated client environments such as tax, finance, and risk.

Responsibilities

• Embed directly with client teams to frame problems, identify high-leverage opportunities, and define delivery paths under regulatory and operational constraints.
• Own end-to-end delivery outcomes for engagements, from initial shaping through implementation, deployment, and early sustainment.
• Implement and manage AI-enabled workflows, agentic systems, orchestration logic, and integrations using approved platform capabilities and delivery templates.
• Write and review production-quality code (e.g., LangGraph, Python, orchestration glue, integration layers) aligned with enterprise delivery standards.
• Make real-time delivery tradeoffs balancing functionality, safety, cost, and timeline, and clearly explain those decisions to stakeholders.
• Ensure solutions comply with security, AI integrity, and FinOps constraints, working with control authorities to achieve safe-to-ship approval.
• Capture and communicate field learnings, edge cases, and failure modes, contributing evidence-based feedback that improves platform evolution.
• Collaborate with integration, platform, and architecture teams to reduce rework and enable repeatable delivery patterns.

Qualifications

• Demonstrated ability to take ownership of complex, ambiguous problems and drive them to successful outcomes.
• Strong engineering fundamentals combined with pragmatic systems thinking in AI-native environments.
• Experience in operating directly with clients and business stakeholders while remaining deeply technical.
• Capable of balancing hands-on execution with shaping, explanation, and mentoring.
• Calm judgment under pressure; able to make defensible tradeoffs in regulated settings.
• Clear communicator who can translate technical details into business-relevant outcomes.
• Bias toward reliability, repeatability, and trust over experimental novelty in production contexts.
• Curiosity and adaptability in rapidly evolving AI tooling and delivery practices.

Skills and Attributes

• 5+ years of experience delivering complex software systems in enterprise or regulated environments.
• Experience in customer-facing or consulting engineering roles.
• Hands-on experience building and deploying distributed systems, APIs, integrations, or data-intensive applications.
• Practical experience with modern AI application stacks (e.g., LLM-backed systems, agentic workflows, orchestration frameworks).
• Proven track record owning delivery in real-world conditions.
• Experience writing and maintaining production-grade code that operates under compliance, performance, and reliability constraints.
• Ability to work effectively with engineering, architecture, security, and governance teams.

Pay

The base salary range for this job in the US is $106,900 to $176,500. The base salary range for the New York City Metro Area, Washington State, and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography.

Schedule

We offer a flexible vacation policy where you decide how much vacation time you need based on your personal circumstances. Additionally, you’ll be granted 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.