Note: The job is a remote job and is open to candidates in USA. EY is a globally connected professional services organization using data, AI, and advanced technology to help clients address complex business challenges. EY is seeking a senior, hands-on Distinguished Engineer to lead the delivery of AI-native systems in regulated industries, provide cross-engagement technical leadership, and turn field learnings into reusable enterprise patterns and platform recommendations.
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
- • 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
- • 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
- • 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)
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Team-led and leader-enabled hybrid model, with most people in external, client serving roles working together in person 40-60% of the time over the course of an engagement, project or year
- Flexible vacation policy, allowing employees to decide how much vacation time they need based on their personal circumstances
- EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care time off
- Other leaves of absence when needed to support physical, financial, and emotional well-being
Company Overview
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