Advanced Forward Engineering - Implementation Engineer

Job description

Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity In EY’s Office of the CTO, the Advanced Forward Engineering (AFE) team is comprised of cells of Forward Deployed Engineers (FDEs) that are embedded with our strategic customers to ensure the best possible customer experience in using EY’s products. We are seeking senior engineers for this team to design, build, and deliver AI‑native systems directly into highly regulated client environments such as tax, finance, and risk. This role combines end‑to‑end delivery ownership with hands‑on engineering execution, serving as the primary technical and outcomes authority for forward‑deployed client engagements. Unlike traditional engineering or architecture roles, the AFE teams operate at the edge of the enterprise, embedding with clients, navigating real‑world constraints, and ensuring AI solutions are not only technically sound, but deployable, auditable, and trusted in production. This role is ideal for a seasoned engineer who excels at owning ambiguous problems, making pragmatic tradeoffs, and turning platform capabilities into real business impact. AFE engineers are responsible for both shaping the solution and writing production‑quality code, while collaborating closely with platform, architecture, security, and governance partners. Your key 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. Skills and attributes for success • 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. To qualify you must have • 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. Ideally, you'll also have • Bachelor’s or Master’s degree in Computer Science or related technical field. • Experience in forward‑deployed engineering roles. • Familiarity with AI safety, cost controls, or governance considerations in production systems. • Exposure to platform integration, reference implementation development, or system hardening. • Experience delivering solutions in regulated industries (financial services, tax, healthcare, risk). What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also 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. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Requirements

Must-haves

Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AFE engineers are responsible for both shaping the solution and writing production‑quality code, while collaborating closely with platform, architecture, security, and governance partners.
Your key 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.
Skills and attributes for success
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.
To qualify you must have
5+ years of experience delivering complex software systems in enterprise or regulated environments.

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Platform: successfactors
Effort: medium

Benefits

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Dental

401(K)

Paid Time Off