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Americas Tax Technology Group - Solutions Architect - Manager

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2026-03-12
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Americas Tax Technology Group - Solutions Architect - Manager

Americas Tax Technology Group – AI Solutions Architect – Manager

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 organization’s 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…
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