Americas Tax Technology Group AI Solutions Architect Manager

Americas Tax Technology Group AI Solutions Architect Manager

The opportunity

As part of our Americas Tax Technology Group (ATTG) you will be part of a technology organization that develops and maintains innovative solutions for our client-serving Tax professionals. ATTG professionals partner with Tax to develop supporting technology such as digital/mobile tools to improve internal operations and advanced capabilities in the areas of data-driven management workflow analytics automation and artificial intelligence that solve todays challenges and create the future.

The AI Solutions Architect role is in the Architecture and Standards pillar. The main function of this pillar is to architect market-differentiating solutions and set standards for ATTGwith a specific focus on architecting AI-driven and AI-enabled capabilities (including agentic and multi-agent systems) that are secure compliant observable and production-ready.

Your key responsibilities

• Ensures the architecture of solutions is aligned with the direction of the organization in terms of technology and business strategy with clear AI value realization goals.
• Drive effective decision making to steer harmonize and accelerate efforts within the portfolio; documents trade-offs across performance cost risk and delivery timelines.
• Accountable for the solution architecture of products within the portfolio including agentic AI and generative AI capabilities.
• Ensures the direction and implementation of a solution is true to its design; manages change appropriately through governance.
• Makes informed Build vs. Buy decisions by consistently following established evaluation processes including model/platform assessments and vendor due diligence.
• Routes technology purchase requests through appropriate channels to ensure alignment with Global Procurement purchasing requirements.
• Ensures solution designs specify technologies & tools approved for use by Tax Quality Risk Management & Independence including AI safety controls.
• Collaborate with Solution Delivery Leadership (SDL) and Business Technology Leadership (BTL) to devise AI solution delivery strategy and operating model.
• Assists with mapping business technology strategy to solution strategy including AI capability roadmaps and reusable building blocks.
• Participates in rationalization of the latest market trends ATTG and EY Fabric capabilities and emerging AI standards.
• Facilitates preparation of technical solution options and advises on technical and business value including cost/performance and risk posture.
• Develops standards and reference architectures to accelerate delivery through repeatable actions reusable components and shared services.
• Identifies programs to deliver architectural leverage and scale through reusable components (e.g. skills catalogs RAG services evaluation harnesses).
• Works alongside governance bodies in ATTG to form part of the organizations overall governance picture embedding compliance through automation and policy enforcement.
• Designs products and services for minimal human intervention in deployment and operation including CI/CD version pinning and rollback strategies for agents and models.
• Ensures governance is met through automation and policy enforcement to reduce manual process gates including traceability and guardrail logging.
• Ensures compliance to standards for solution architecture and integration of relevant building blocks already available.
• Defines robust architectures for building new applications and releases leveraging and enhancing existing building blocks or creating new reusable components.
• Architects agentic AI capabilities: single/multi-agent patterns tool orchestration planning/execution loops episodic and long-term memory retrieval grounding and policy/guardrails.
• Designs multi-agent workflows: task decomposition and coordination (broadcast hub-and-spoke supervisor/worker) conflict resolution shared memory and evaluation harnesses.
• Leads enterprise-grade integration patterns: function calling/skills catalogs event-driven flows APIs/services RAG pipelines vector stores streaming and observability.
• Applies and promotes standards and protocols such as OpenAPI 3.1 Model Context Protocol (MCP) and agent-to-agent (A2A) patterns where applicable.
• Leverages Microsoft Azure AI Foundry capabilities (model selection Agent Service Agent Framework/SDK Hosted Agents and observability/evaluations) to deliver scalable solutions.
• 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.
• Partners with others inside and outside the organization to gather requirements and formulate appropriate architectures; advocates and compromises to reach mutually acceptable solutions.
• Works closely with Studio and engineering teams to translate architecture into delivered value and measurable outcomes.

Skills and attributes for success

To qualify for the role you must have:

• A bachelors degree (computer science engineering accounting finance preferred) or equivalent work experience; masters 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.

Ideally youll have

• Ability to understand and learn tax law and technology implications at a high level.
• Experience integrating AI solutions with enterprise data and applications (Data Lakehouse Microsoft 365/SharePoint Power Platform with Copilot Studio).
• Familiarity with emerging standards such as MCP and A2A and applying OpenAPI 3.1 for tool/skills definitions.
• Experience with reliability engineering for AI systems (SLOs graceful degradation evaluation-driven monitoring).
• Microsoft A365 experience is a plus.

What we look for

Were interested in people who are ready to become part of a highly engaged diverse and dynamic team to help us continue to make a real difference to our clients. If you have a strong client focus an interest in strategic initiatives and the ambition to go above and beyond expectationswhile bringing disciplined architecture governance and operational excellence to AI-enabled deliverythis role is for you.