AI Architect

WTW • Upper Merion Township, PA

2d • $120,000 - $150,000

About The Position

The AI Architect partners with the IT Director and internal client teams to translate complex business requirements into scalable, enterprise-grade AI architectures, primarily using Microsoft Azure AI Foundry, Copilot Studio, and the Power Platform, with enterprise agent platforms where appropriate. The role owns end-to-end solution design, from client discovery and MVP scoping through architecture governance, integration design, production hardening, and team enablement. It is not the primary developer role, but requires technical fluency to review code, challenge designs, set engineering standards, guide pro-code and low-code engineers, and rapidly prototype with AI-assisted development.

The architect leads the design of agents, agentic workflows, data-grounding approaches, enterprise integrations, and production operations. The role establishes evaluation, security, observability, responsible AI, cost-management, and engineering-governance practices, and assesses existing AI assets and emerging technologies. It works with Security, Privacy, Risk, internal stakeholders, and delivery teams to ensure solutions are governed, maintainable, measurable, auditable, and suitable for a regulated industry.

Requirements

• At least 7 years of solution or cloud architecture experience; Azure is strongly preferred, with equivalent GCP or AWS experience considered.
• Exceptional command of cloud concepts and demonstrated experience designing cloud-native, enterprise-scale solutions.
• Strong grasp of Well-Architected Framework principles, including reliability, security, cost optimization, and operational excellence.
• Hands-on architecture experience with Microsoft Copilot Studio, including enterprise agents, topics, tools, and orchestration.
• Working knowledge of Azure AI Foundry, including agent service, model catalogue, and evaluations, and of MCP as an integration pattern.
• Solid understanding of RAG and knowledge-grounding design, including chunking, retrieval, Azure AI Search or vector stores, grounding evaluation, and choosing among RAG, fine-tuning, and tool-use.
• Experience taking AI or agent solutions from prototype to production, including evaluation, security, observability, and release gating.
• Familiarity with enterprise agent platforms such as Moveworks or Lyzr and ability to assess fit and build-versus-buy choices.
• Working knowledge of Python or C# at code-review depth, including the ability to review production code, critique designs, and guide pro-code engineers.
• Working knowledge of REST APIs, SDKs, and authentication and authorization patterns such as OAuth 2.0/OIDC, Entra ID app registrations, managed identity, and on-behalf-of flows.
• Understanding of version control, code review, CI/CD, and infrastructure-as-code sufficient to set standards and guide delivery teams.
• Architecture-level knowledge of Power Apps, Power Automate, Copilot Studio, and AI Builder.
• Experience designing scalable, governed Power Platform solutions with sound ALM across environments.
• Strong familiarity with M365, including SharePoint, Teams, and Dataverse, and with Entra ID, OAuth 2.0, and managed identity as they relate to AI solution design and integration.
• Exceptional ability to communicate complex technical concepts to non-technical senior stakeholders.
• Comfort with AI-assisted rapid prototyping to validate concepts and unblock delivery teams.
• Collaborative approach and experience guiding and mentoring delivery teams, including vendor and partner engineers.

Nice To Haves

• Microsoft certifications, particularly Azure Solutions Architect Expert (AZ-305), Azure AI Engineer Associate (AI-102), Power Platform Solution Architect Expert (PL-600), or Power Platform Developer Associate (PL-400).
• Working knowledge of modern front-end frameworks and languages such as React, Angular, or TypeScript.
• Hands-on CI/CD experience with Azure DevOps Pipelines or GitHub Actions and infrastructure-as-code experience with Bicep or Terraform.
• Experience delivering AI solutions in a regulated industry, such as financial services or insurance, with data privacy and audit obligations.
• Experience working with vendor or partner delivery teams in a multi-vendor model.

Responsibilities

• Engage internal clients to understand use cases, identify core problems and success criteria, scope MVPs, and translate business needs into technical solutions.
• Own end-to-end AI solution architectures using Azure AI Foundry, Copilot Studio, the Power Platform, and suitable enterprise agent platforms; produce HLDs, LLDs, and ADRs.
• Design agents and agentic workflows, including MCP integration, RAG knowledge grounding, tool orchestration, and evaluation approaches.
• Design enterprise data-grounding architecture across Dataverse, SharePoint, Microsoft Fabric/OneLake, SQL, Azure AI Search, and vector stores; determine chunking, retrieval, indexing, and appropriate use of RAG, fine-tuning, or tool-use.
• Guide AI solutions from prototype to production, including evaluation frameworks, testing, release gates, tracing, security hardening, and red-teaming.
• Assess existing automations and AI assets and define governed, maintainable modernization roadmaps aligned with enterprise standards.
• Design integrations with enterprise systems and data through connectors, MCP, and APIs, including M365, ServiceNow, ERP, HR platforms, and other sources.
• Embed monitoring, tracing, and evaluation using Azure AI Foundry, Copilot Studio analytics, Azure Monitor/Application Insights, and Power Platform CoE tooling.
• Ensure solutions follow WTW Responsible AI intake and governance processes and address data classification, privacy, least privilege, auditability, security, and regulatory obligations.
• Review code and designs across pro-code and low-code workstreams, including vendor and partner engineers; set authentication, API, CI/CD, and infrastructure-as-code standards; establish reusable components and reference architectures; and drive ALM and environment governance.
• Guide model selection, token budgeting, and capacity decisions, and embed cost monitoring to support sustainable scaling.
• Monitor AI tooling and evaluate emerging platforms, frameworks, and patterns for delivery speed, capability, and cost efficiency.
• Communicate complex technical concepts to senior non-technical stakeholders and guide and mentor delivery teams.

Benefits

• Annual short-term incentive bonus eligibility.
• Medical insurance, including prescription coverage.
• Dental insurance.
• Vision insurance.
• Health Savings Account.
• Commuter Account.
• Health Care and Dependent Care Flexible Spending Accounts.
• Group Accident and Group Critical Illness benefits.
• Life insurance and AD&D.
• Group legal benefits and identity theft protection.
• Wellbeing Program and Work/Life Resources, including Employee Assistance Program.
• Paid holidays and annual paid time off, including paid state/local leave where required.
• Short-Term Disability and Long-Term Disability.
• Other leaves, including bereavement, FMLA, ADA, jury duty, military, parental, and adoption leave.
• Contributory Pension Plan and 401(k) Savings Plan.
• Some roles at Level 38 and above may be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed