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Closed listing

WTW

AI Architect

King of Prussia, PA, United States
Philadelphia, PA, United States

$120,000 to $150,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $120,000 to $150,000 USD / year
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Role Summary You will partner with the IT Director and internal client teams to translate complex business requirements into scalable, enterprise-grade AI architectures built primarily on Microsoft’s AI platform stack - Azure AI Foundry, Copilot Studio, and the Power Platform - complemented by enterprise agent platforms where they are the right fit. This role owns end-to-end solution design across both pro-code (Python/Azure) and low-code (Power Platform/Copilot Studio) delivery: from client discovery and MVP scoping through architecture governance, integration design, production hardening, and team enablement. You will not be the primary developer, but you will be technically fluent enough to review code, challenge designs, set engineering standards, and guide both pro-code and low-code engineers. You will bring exceptional cloud fundamentals, a platform-first mindset, and the ability to rapidly prototype with AI-assisted development to unblock a high-performing delivery team.

Key Responsibilities

Client engagement & discovery - Work directly with internal clients to deeply understand their use cases, identify the core problem and success criteria, and translate requirements into a clearly scoped MVP. Act as the technical voice in stakeholder conversations, bridging business need to technical possibility.
Solution architecture ownership - Design and own end-to-end architectures for AI solutions built on Azure AI Foundry, Copilot Studio, and the Power Platform, complemented by enterprise agent platforms (e.g., Moveworks, Lyzr) where they are the right fit. Produce architecture artefacts (HLD, LLD, ADRs) that guide delivery teams.
Agent & AI capability design - Lead the design of AI agents and agentic workflows using Copilot Studio and Azure AI Foundry, including MCP-based integration, knowledge grounding (RAG), tool orchestration across connectors and enterprise data, and the evaluation approach that proves each agent does what it claims.
Data grounding architecture - Design how agents access and ground on enterprise data across Dataverse, SharePoint, Microsoft Fabric/OneLake, SQL, and Azure AI Search or vector stores. Own chunking, retrieval, and indexing strategy, and the judgment on when RAG, fine-tuning, or tool-use is the right pattern.
Production AI engineering - Own the path from prototype to production: evaluation frameworks (golden datasets, offline and online evaluation, regression testing of agent behaviour), release gating, tracing, and security hardening against prompt injection, over-permissioned tools and MCP servers, data exfiltration, and unsafe content, including red-teaming before go-live.
Modernization of existing solutions - Assess existing automations and AI assets and define a roadmap to evolve them onto the platform stack in a production-grade, governed, and maintainable way, aligned with enterprise standards.
Integration architecture - Design how AI capabilities connect to enterprise systems and data using connectors, MCP, and APIs. Ensure clean integration with M365, ServiceNow, ERP, HR platforms, and other enterprise sources.
Observability & operational excellence - Embed monitoring, tracing, and evaluation into every architecture using platform-native tooling (Azure AI Foundry evaluation and tracing, Copilot Studio analytics, Azure Monitor / Application Insights, Power Platform CoE). Ensure AI solutions are measurable, auditable, and trustworthy at scale.
Responsible AI, security & compliance - Ensure every solution passes through WTW’s Responsible AI intake and governance processes. Design for data classification, privacy, least-privilege access, and auditability from the outset, and partner with Security, Privacy, and Risk colleagues to meet the obligations of a regulated industry.
Engineering standards & technical governance - Work hands-on with the delivery team as a trusted design partner. Review code and designs across pro-code and low-code workstreams, including vendor and partner engineers; set standards for authentication, API, CI/CD, and infrastructure-as-code patterns; establish reusable components and reference architectures; and drive ALM and governance across environments.
AI cost & model economics - Guide model selection, token budgeting, and capacity decisions (e.g., provisioned vs. pay-as-you-go), and embed cost monitoring so AI solutions remain economically sustainable as they scale.
Technology radar & innovation - Maintain an active awareness of the AI tooling landscape. Evaluate and recommend emerging platforms, frameworks, and patterns that could improve delivery speed, capability, or cost-efficiency for the team.

Required Qualifications Cloud & platform architecture

7+ years of solution or cloud architecture experience, with exceptional command of cloud concepts (Azure strongly preferred; equivalent GCP or AWS considered). Hands-on experience with Azure AI Foundry and core Azure AI services.
Demonstrated experience designing cloud-native, enterprise-scale solutions. Strong grasp of Well-Architected Framework principles (reliability, security, cost optimization, operational excellence).

AI & agentic platforms

Hands-on architecture experience with Microsoft Copilot Studio - designing agents, topics, tools, and orchestration for enterprise scenarios.
Working knowledge of Azure AI Foundry (agent service, model catalogue, evaluations) and MCP (Model Context Protocol) as an integration pattern.
Solid understanding of RAG (retrieval-augmented generation) and knowledge-grounding design - chunking and retrieval strategy, Azure AI Search or vector stores, grounding evaluation, and the judgment to choose between RAG, fine-tuning, and tool-use.
Experience taking AI or agent solutions from prototype into production, including evaluation, security, observability, and release gating.
Familiarity with enterprise agent platforms (e.g., Moveworks, Lyzr) and the judgment to assess fit-for-purpose and build vs. buy.

Pro-code fluency

Solid working knowledge of Python or C# at code-review depth - able to read, review, and critique production code, challenge technical designs, and guide pro-code engineers. You do not need to be the primary developer.
Solid working knowledge of REST APIs and SDKs, and of authentication and authorization patterns (OAuth 2.0 / OIDC, Entra ID app registrations, managed identity, on-behalf-of flows).
Working understanding of modern engineering practice - version control, code review, CI/CD, and infrastructure-as-code - sufficient to set standards and hold delivery teams to them.

Low-code & automation platforms

Architecture-level knowledge of the Microsoft Power Platform: Power Apps, Power Automate, Copilot Studio, and AI Builder.
Experience designing scalable, governed Power Platform solutions with sound ALM across environments.

M365 & integration

Strong familiarity with the M365 ecosystem (SharePoint, Teams, Dataverse) and identity & security (Entra ID, OAuth 2.0, managed identity) as they relate to AI solution design and integration.

Communication & ways of working

Exceptional ability to communicate complex technical concepts to non-technical senior stakeholders.
Comfortable with AI-assisted rapid prototyping to validate concepts quickly and unblock the team.
Collaborative mindset with experience guiding and mentoring delivery teams, including vendor and partner engineers.

Preferred Qualifications

Relevant Microsoft certifications, particularly Azure Solutions Architect Expert (AZ-305), Azure AI Engineer Associate (AI-102), and 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 (Azure DevOps Pipelines or GitHub Actions) and infrastructure-as-code (Bicep or Terraform).
Experience delivering AI solutions in a regulated industry (financial services, insurance, or similar) with data privacy and audit obligations.
Experience working alongside vendor or partner delivery teams in a multi-vendor model.

Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified.

Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation

The base salary compensation range being offered for this role is $120,000– $150,000 USD per year. This role is also eligible for an annual short-term incentive bonus. Company Benefits WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off
Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.

Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records. EOE, including disability/vets

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