Americas Tax Technology Group - Solutions Architect - Senior Manager

About the role

The opportunity is to shape the future of tax technology solutions within the Americas Tax Technology Group at EY. As a Solutions Architect – Senior Manager, you will design and implement innovative solutions that enhance internal operations and address current and future challenges.

Responsibilities

• Ensures the architecture of solutions aligns with organizational technology and business strategy, focusing on AI value realization.
• Drives effective decision-making to steer, harmonize, and accelerate efforts within the portfolio.
• Accountable for the solution architecture of products within the portfolio, including agentic and generative AI capabilities.
• Makes informed Build vs. Buy decisions by following established evaluation processes.
• Collaborates with Solution Delivery Leadership and Business Technology Leadership to devise AI solution delivery strategy and operating model.
• Facilitates preparation of technical solution options and advises on technical and business value.
• Designs products and services for minimal human intervention in deployment and operation, including CI/CD, version pinning, and rollback strategies for agents and models.
• Applies and promotes standards and protocols such as OpenAPI 3.1, Model Context Protocol (MCP), and agent-to-agent (A2A) patterns.
• Leverages Microsoft Azure AI Foundry capabilities to deliver scalable solutions.

Requirements

• A bachelor’s degree (computer science, engineering, accounting, finance preferred) or equivalent work experience, master’s degree preferred.
• 10+ years of experience in solution/enterprise architecture and building enterprise software products; management experience a plus.
• Ability to clearly articulate both problems and proposed solutions to technical and non-technical stakeholders.
• Proactive approach to identifying issues and presenting solutions/options, leading where appropriate to resolution.
• Understanding of long-term business objectives and ability to suggest technical strategies to meet objectives through innovation, including AI-enabled capabilities.
• Strong experience with architectural styles and patterns (cloud-native, microservices, event-driven, API-first).
• Experience architecting agentic AI and/or generative AI solutions, including multi-agent workflows, tool orchestration, memory, and RAG grounding.
• Experience with integration patterns for AI systems (function calling/skills catalogs, vector stores, streaming, observability).
• Experience with Microsoft Azure AI Foundry: model selection/cost trimming; Agent Service; Agent Framework/SDK; Hosted Agents; and observability (tracing, metrics, evaluations, Application Insights/OpenTelemetry).
• Excellent knowledge of software development methodologies and processes (Agile/DevOps) and strong CI/CD discipline.
• Track record that includes the design and release of high-quality, high-performance, enterprise-level software products/applications.
• Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment.
• Strong analytical, prioritization, and troubleshooting skills; strong documentation skills for C-level consumption.
• Experience designing and implementing hybrid cloud solutions.
• Strong security and compliance fundamentals: OAuth2/OIDC, secrets management, data boundaries, content filters, and PII handling.
• Comfortable communicating architecture to all levels of management and customers; responsive and decisive in adjusting architecture per requirements and technology evolution.
• Working experience in Business Architecture is beneficial.

Skills and attributes for success

• Ensures production operations and reliability: Kubernetes or serverless hosting, reliability engineering, cost/performance tuning, and incident response readiness.
• Ensures security and compliance by design: OAuth2/OIDC, secrets management, data boundaries, content filtering, and PII handling/redaction.

Qualifications

• Ability to understand and learn tax law and technology implications.
• Experience integrating AI solutions with enterprise data and applications (Data Lakehouse, Microsoft 365/SharePoint, Power Platform with Copilot Studio).
• Experience with reliability engineering for AI systems (SLOs, graceful degradation, evaluation-driven monitoring).

Benefits

At EY, we offer a comprehensive compensation and benefits package, including a base salary range of $89,700 to $260,200 in all geographic locations in the US, and $107,700 to $295,700 in the New York City Metro Area, Washington State, and California (excluding Sacramento). Individual salaries 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.

Pay

The base salary range for this job in all geographic locations in the US is $89,700 to $260,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $107,700 to $295,700.

Schedule

We offer a flexible vacation policy where you decide how much vacation time you need based on your 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.