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 We are seeking a senior, hands-on Distinguished Engineer to lead the delivery of AI-native systems into highly regulated industries such as tax, finance, and risk. This role sits at the intersection of real-world delivery, architecture enforcement, and platform feedback, ensuring that AI systems move from concept to production with speed, safety, and audit-grade rigor. Unlike traditional architecture or product roles, the Advanced Forward Engineering (AFE) team is accountable for making AI systems work in reality, under client constraints, regulatory scrutiny, and operational pressure. Client engagements involve cells/pods of Forward Deployed Engineers and the Distinguished AFE operates as a cross‑cell technical leader, partnering closely with Product Engineering, Product Architecture, and governance authorities while remaining anchored in delivery outcomes. This role is ideal for a seasoned engineer who combines deep technical judgment with strong client presence, systems thinking, and the ability to translate messy field reality into durable, reusable patterns for the enterprise. Your key responsibilities • Serve as a cross-engagement technical authority, ensuring delivery implementations adhere to architecture intent, safety, and economic constraints in regulated environments. • Synthesize learnings from multiple delivery cells into durable reference integrations, validated implementations, and reusable patterns that reduce repeated failure modes. • Work with AI agents to support regulated safe-to-ship decisions by contributing technical evidence and validation inputs. • Operate as a player-coach, contributing directly to complex system design and implementation while guiding delivery teams toward consistent, repeatable approaches. • Own the consolidation, prioritization, and communication of cross-cell product signals, converting field observations and client-specific adaptations into evidence-based recommendations, distinguishing them from isolated customer requests. • Partner with Product Engineering and Product Architecture to package consolidated client patterns into technical business cases, backlog candidates, and platform investment recommendations. • Participate in shaping sessions, architecture reviews, and prioritization discussions, advocating changes that improve portability, operability, and customer outcomes. Skills and attributes for success • Deep technical expertise across a broad range of technology domains (AI/ML, Software Engineering, Systems Design, Security, Compute, Data, Networking, DevOps). • Strong product intuition with the ability to transform field observations into executive-ready recommendations, roadmap inputs, and reusable platform capabilities. • Ability to balance immediate delivery needs with long-term platform evolution, ensuring short-term solutions contribute to enduring enterprise capabilities. • Operate effectively across delivery, architecture, product, and governance domains simultaneously. • High credibility with senior engineers, architects, and client stakeholders. • Pragmatic mindset: balances ideal design with real constraints (regulatory, organizational, environmental). • Clear communicator who can explain complex technical tradeoffs with evidence and precision. • Bias toward repeatability and long-term maintainability over one-off solutions. • Intellectual curiosity and continuous learning orientation in AI-native development and system design. To qualify you must have • 10+ years of experience delivering complex AI enterprise systems, ideally in regulated industries. • Deep experience with distributed systems, cloud platforms, and integration‑heavy architectures. • Hands‑on experience with modern AI‑enabled application stacks (e.g., agentic systems, orchestration frameworks, LLM‑backed services). • Proven ability to operate in forward‑deployed or customer‑facing engineering roles, owning outcomes under real‑world constraints. • Track record of creating reusable technical patterns or platforms that scale beyond a single engagement. • Experience collaborating closely with architecture, product, and platform teams. • Strong understanding of software delivery lifecycle, quality gates, and production readiness in enterprise settings. Ideally, you'll also have • Bachelor’s or Master’s degree in Computer Science or related technical field. • Expertise with AI/ML lifecycle management, observability, and validation approaches. • Experience working with AI governance, security, and cost controls in production environments. • Ability to influence client and internal stakeholders, and platform direction through technical credibility and evidence. • Experience building reference implementations, test harnesses, and validation frameworks. • Exposure to regulated delivery contexts (e.g., financial services, tax, healthcare, risk platforms). 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 $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. 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 .

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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.
Unlike traditional architecture or product roles, the Advanced Forward Engineering (AFE) team is accountable for making AI systems work in reality, under client constraints, regulatory scrutiny, and operational pressure.
Your key responsibilities
Serve as a cross-engagement technical authority, ensuring delivery implementations adhere to architecture intent, safety, and economic constraints in regulated environments.
Synthesize learnings from multiple delivery cells into durable reference integrations, validated implementations, and reusable patterns that reduce repeated failure modes.
Work with AI agents to support regulated safe-to-ship decisions by contributing technical evidence and validation inputs.
Operate as a player-coach, contributing directly to complex system design and implementation while guiding delivery teams toward consistent, repeatable approaches.
Partner with Product Engineering and Product Architecture to package consolidated client patterns into technical business cases, backlog candidates, and platform investment recommendations.
Participate in shaping sessions, architecture reviews, and prioritization discussions, advocating changes that improve portability, operability, and customer outcomes.
Skills and attributes for success
Deep technical expertise across a broad range of technology domains (AI/ML, Software Engineering, Systems Design, Security, Compute, Data, Networking, DevOps).
Strong product intuition with the ability to transform field observations into executive-ready recommendations, roadmap inputs, and reusable platform capabilities.
Ability to balance immediate delivery needs with long-term platform evolution, ensuring short-term solutions contribute to enduring enterprise capabilities.
Operate effectively across delivery, architecture, product, and governance domains simultaneously.
High credibility with senior engineers, architects, and client stakeholders.
Pragmatic mindset: balances ideal design with real constraints (regulatory, organizational, environmental).
Clear communicator who can explain complex technical tradeoffs with evidence and precision.
Bias toward repeatability and long-term maintainability over one-off solutions.
Intellectual curiosity and continuous learning orientation in AI-native development and system design.
To qualify you must have
10+ years of experience delivering complex AI enterprise systems, ideally in regulated industries.
Deep experience with distributed systems, cloud platforms, and integration‑heavy architectures.

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Platform: successfactors
Effort: medium

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Dental

401(K)

Paid Time Off